{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Node classification with weighted Node2Vec"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbsphinx": "hidden",
    "tags": [
     "CloudRunner"
    ]
   },
   "source": [
    "<table><tr><td>Run the latest release of this notebook:</td><td><a href=\"https://mybinder.org/v2/gh/stellargraph/stellargraph/master?urlpath=lab/tree/demos/node-classification/node2vec-weighted-node-classification.ipynb\" alt=\"Open In Binder\" target=\"_parent\"><img src=\"https://mybinder.org/badge_logo.svg\"/></a></td><td><a href=\"https://colab.research.google.com/github/stellargraph/stellargraph/blob/master/demos/node-classification/node2vec-weighted-node-classification.ipynb\" alt=\"Open In Colab\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\"/></a></td></tr></table>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Introduction\n",
    "\n",
    "This notebook illustrates how `Node2Vec` [1] can be applied to learn low dimensional node embeddings of an edge weighted graph through __weighted biased random walks__ over the graph. \n",
    "\n",
    "Specifically, the notebook demonstrates:\n",
    "1. Learning node embeddings using  [Word2Vec](https://papers.nips.cc/paper/5021-distributed-representations-of-words-and-phrases-and-their-compositionality.pdf) algorithm applied to a set of weighted biased random walks performed over a graph.\n",
    "2. Visualizing the node embeddings in 2-D using the [t-SNE](http://scikit-learn.org/stable/modules/generated/sklearn.manifold.TSNE.html) algorithm.\n",
    "3. Demonstrating how the node embeddings calculated using Word2Vec can be used as feature vectors in a downstream task such as node classification. \n",
    "4. Comparing node embeddings learnt from \"unweighted Node2Vec\" with \"weighted Node2Vec\" visually as well as in terms of accuracy of node classification task over the same underlying graph. \n",
    "5. Lastly, performing a quick check of equivalency of weighted biased random walks to unweighted biased random walks when all edge weights are identically 1.\n",
    "\n",
    "The example uses components from the `stellargraph`, `Gensim`, and `scikit-learn` libraries.\n",
    "\n",
    "**Note:** For clarity of exposition, this notebook forgoes the use of standard machine learning practices such as `Node2Vec` parameter tuning, node feature standarization, data splitting that handles class imbalance, classifier selection, and classifier tuning to maximize predictive accuracy. We leave such improvements to the reader.\n",
    "\n",
    "### References\n",
    "\n",
    "[1] Node2Vec: Scalable Feature Learning for Networks. A. Grover, J. Leskovec. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2016. ([link](https://snap.stanford.edu/node2vec/))\n",
    "\n",
    "[2] Distributed representations of words and phrases and their compositionality. T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean.  In Advances in Neural Information Processing Systems (NIPS), pp. 3111-3119, 2013. ([link](https://papers.nips.cc/paper/5021-distributed-representations-of-words-and-phrases-and-their-compositionality.pdf))\n",
    "\n",
    "[3] Gensim: Topic modelling for humans. ([link](https://radimrehurek.com/gensim/))\n",
    "\n",
    "[4] scikit-learn: Machine Learning in Python ([link](http://scikit-learn.org/stable/))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "nbsphinx": "hidden",
    "tags": [
     "CloudRunner"
    ]
   },
   "outputs": [],
   "source": [
    "# install StellarGraph if running on Google Colab\n",
    "import sys\n",
    "if 'google.colab' in sys.modules:\n",
    "  %pip install -q stellargraph[demos]==1.2.1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "nbsphinx": "hidden",
    "tags": [
     "VersionCheck"
    ]
   },
   "outputs": [],
   "source": [
    "# verify that we're using the correct version of StellarGraph for this notebook\n",
    "import stellargraph as sg\n",
    "\n",
    "try:\n",
    "    sg.utils.validate_notebook_version(\"1.2.1\")\n",
    "except AttributeError:\n",
    "    raise ValueError(\n",
    "        f\"This notebook requires StellarGraph version 1.2.1, but a different version {sg.__version__} is installed.  Please see <https://github.com/stellargraph/stellargraph/issues/1172>.\"\n",
    "    ) from None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.manifold import TSNE\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.linear_model import LogisticRegressionCV\n",
    "from sklearn.metrics import accuracy_score\n",
    "from sklearn.metrics.pairwise import pairwise_distances\n",
    "from sklearn import preprocessing\n",
    "\n",
    "import numpy as np\n",
    "\n",
    "from stellargraph.data import BiasedRandomWalk\n",
    "from stellargraph import StellarGraph\n",
    "\n",
    "from gensim.models import Word2Vec\n",
    "\n",
    "import warnings \n",
    "import collections\n",
    "from stellargraph import datasets\n",
    "from IPython.display import display, HTML\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Some global parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "tags": [
     "parameters"
    ]
   },
   "outputs": [],
   "source": [
    "walk_length = 100  # maximum length of a random walk to use throughout this notebook"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Dataset\n",
    "\n",
    "For weighted biased random walks the underlying graph should have weights over the edges. Since the links in the Cora dataset are unweighted, we need to synthetically add weights to the links in the graph. One possibility is to weight each edge by the similarity of its end nodes. Here we assign the Jaccard similarity of the features of the pair of nodes as the weight of edge which we can compute by logical operations on NumPy dataframes of the one-hot encoded features."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def jaccard_weights(graph, _subjects, edges):\n",
    "    sources = graph.node_features(edges.source)\n",
    "    targets = graph.node_features(edges.target)\n",
    "\n",
    "    intersection = np.logical_and(sources, targets)\n",
    "    union = np.logical_or(sources, targets)\n",
    "\n",
    "    return intersection.sum(axis=1) / union.sum(axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "DataLoadingLinks"
    ]
   },
   "source": [
    "(See [the \"Loading from Pandas\" demo](../basics/loading-pandas.ipynb) for details on how data can be loaded.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "tags": [
     "DataLoading"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "The Cora dataset consists of 2708 scientific publications classified into one of seven classes. The citation network consists of 5429 links. Each publication in the dataset is described by a 0/1-valued word vector indicating the absence/presence of the corresponding word from the dictionary. The dictionary consists of 1433 unique words."
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dataset = datasets.Cora()\n",
    "display(HTML(dataset.description))\n",
    "G, subjects = dataset.load(\n",
    "    largest_connected_component_only=True,\n",
    "    edge_weights=jaccard_weights,\n",
    "    str_node_ids=True,  # Word2Vec requires strings, not ints\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "StellarGraph: Undirected multigraph\n",
      " Nodes: 2485, Edges: 5209\n",
      "\n",
      " Node types:\n",
      "  paper: [2485]\n",
      "    Features: float32 vector, length 1433\n",
      "    Edge types: paper-cites->paper\n",
      "\n",
      " Edge types:\n",
      "    paper-cites->paper: [5209]\n"
     ]
    }
   ],
   "source": [
    "print(G.info())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Just a quick look at the weights of the edges."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, weights = G.edges(include_edge_weight=True)\n",
    "\n",
    "wt, cnt = np.unique(weights, return_counts=True)\n",
    "\n",
    "plt.figure(figsize=(10, 8))\n",
    "plt.bar(wt, cnt, width=0.005, color=\"b\")\n",
    "plt.title(\"Edge weights histogram\")\n",
    "plt.ylabel(\"Count\")\n",
    "plt.xlabel(\"edge weights\")\n",
    "plt.xticks(np.linspace(0, 1, 10))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The above distribution of edge weights illustrates that majority of linked nodes are insignificantly similar in terms of their attributes."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The Node2Vec algorithm\n",
    "\n",
    "The Node2Vec algorithm is a method for learning continuous feature representations for nodes in networks [1]. This approach can simply be described as a mapping of nodes to a low dimensional space of features that maximizes the likelihood of persevering neighborhood structure of the nodes. This approach is not tied to a fixed definition of neighborhood of a node but can be used in conjunction with different notions of node neighborhood, such as, homophily or structural equivalence, among other concepts.  The algorithm efficiently explores diverse neighborhoods of nodes through a biased random walk procedure that is parametrized to emulate a specific concept of the neighborhood of a node. \n",
    "\n",
    "Once a predefined number of walks, of fixed lengths, have been sampled, the low dimension embedding vectors of nodes can be learnt using `Word2vec` algorithm [2]. We use the Word2Vec implementation in the free Python library `Gensim` [3] to learn representations for each node in the graph."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Corpus generation using random walks\n",
    "\n",
    "The stellargraph library provides an implementation of random walks that can be unweighted or weighted as required by Node2Vec. The random walks have a predefined fixed maximum length and are controlled by three parameters `p`, `q`,  and `weight`. By default, the weight over the edges is assumed to be 1. See [1] for a detailed description of these parameters. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Weighted random walks\n",
    "The first step for the weighted biased random walk is to build a random walk object by passing it a Stellargraph object. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "rw = BiasedRandomWalk(G)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The next step is to sample a set of random walks of predefined length starting from each node of the graph. Parameters `p`, `q`, and `weighted` influence the type of random walks in the procedure. In this demo, we are going to start 10 random walks from each node in the graph with a length up to 100. We set parameter `p` to 0.5 and `q` to 2.0 and the weight parameter set to True. The `run` method in the random walk will check if the weights over the edges are available and resolve other issues, such as, whether the weights are numeric and that their is no ambiguity of edge traversal (i.e. each pair of node is connected by a unique numerically weighted edge)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of random walks: 24850\n"
     ]
    }
   ],
   "source": [
    "weighted_walks = rw.run(\n",
    "    nodes=G.nodes(),  # root nodes\n",
    "    length=walk_length,  # maximum length of a random walk\n",
    "    n=10,  # number of random walks per root node\n",
    "    p=0.5,  # Defines (unormalised) probability, 1/p, of returning to source node\n",
    "    q=2.0,  # Defines (unormalised) probability, 1/q, for moving away from source node\n",
    "    weighted=True,  # for weighted random walks\n",
    "    seed=42,  # random seed fixed for reproducibility\n",
    ")\n",
    "print(\"Number of random walks: {}\".format(len(weighted_walks)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Representation Learning using Word2Vec\n",
    "\n",
    "Once we have a sample set of walks, we learn the low-dimensional embedding of nodes using Word2Vec approach.\n",
    "We set the dimensionality of the learned embedding vectors to 128 as in [1]."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "weighted_model = Word2Vec(\n",
    "    weighted_walks, size=128, window=5, min_count=0, sg=1, workers=1, iter=1\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(128,)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# The embedding vectors can be retrieved from model.wv using the node ID as key.\n",
    "# E.g., for node id '19231', the embedding vector is retrieved as\n",
    "emb = weighted_model.wv[\"19231\"]\n",
    "emb.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualise Node Embeddings generated by weighted  random walks\n",
    "\n",
    "We retrieve the `Word2Vec` node embeddings that are 128-dimensional vectors and then we project them down to 2 dimensions using the [t-SNE](http://scikit-learn.org/stable/modules/generated/sklearn.manifold.TSNE.html) algorithm for visualization."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Retrieve node embeddings and corresponding subjects\n",
    "node_ids = weighted_model.wv.index2word  # list of node IDs\n",
    "weighted_node_embeddings = (\n",
    "    weighted_model.wv.vectors\n",
    ")  # numpy.ndarray of size number of nodes times embeddings dimensionality\n",
    "# the gensim ordering may not match the StellarGraph one, so rearrange\n",
    "node_targets = subjects.loc[node_ids].astype(\"category\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Apply t-SNE transformation on node embeddings\n",
    "tsne = TSNE(n_components=2, random_state=42)\n",
    "weighted_node_embeddings_2d = tsne.fit_transform(weighted_node_embeddings)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot the embeddings generated from weighted random walks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# draw the points\n",
    "alpha = 0.7\n",
    "\n",
    "plt.figure(figsize=(10, 8))\n",
    "plt.scatter(\n",
    "    weighted_node_embeddings_2d[:, 0],\n",
    "    weighted_node_embeddings_2d[:, 1],\n",
    "    c=node_targets.cat.codes,\n",
    "    cmap=\"jet\",\n",
    "    alpha=0.7,\n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Downstream task\n",
    "\n",
    "The node embeddings calculated using `Word2Vec` can be used as feature vectors in a downstream task such as node classification. Here we give an example of training a logistic regression classifier using the node embeddings, learnt above, as features."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# X will hold the 128-dimensional input features\n",
    "X = weighted_node_embeddings\n",
    "# y holds the corresponding target values\n",
    "y = np.array(node_targets)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Train and Test split\n",
    "We use 75% of the data for training and the remaining 25% for testing as a hold out test set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Array shapes:\n",
      " X_train = (1863, 128)\n",
      " y_train = (1863,)\n",
      " X_test = (622, 128)\n",
      " y_test = (622,)\n"
     ]
    }
   ],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(\n",
    "    X, y, train_size=0.75, test_size=None, random_state=42\n",
    ")\n",
    "print(\n",
    "    \"Array shapes:\\n X_train = {}\\n y_train = {}\\n X_test = {}\\n y_test = {}\".format(\n",
    "        X_train.shape, y_train.shape, X_test.shape, y_test.shape\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Classifier Training\n",
    "\n",
    "We train a Logistic Regression classifier on the training data. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LogisticRegressionCV(Cs=10, class_weight=None, cv=10, dual=False,\n",
       "                     fit_intercept=True, intercept_scaling=1.0, l1_ratios=None,\n",
       "                     max_iter=1000, multi_class='ovr', n_jobs=None,\n",
       "                     penalty='l2', random_state=5434, refit=True,\n",
       "                     scoring='accuracy', solver='lbfgs', tol=0.001,\n",
       "                     verbose=False)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clf = LogisticRegressionCV(\n",
    "    Cs=10,\n",
    "    cv=10,\n",
    "    tol=0.001,\n",
    "    max_iter=1000,\n",
    "    scoring=\"accuracy\",\n",
    "    verbose=False,\n",
    "    multi_class=\"ovr\",\n",
    "    random_state=5434,\n",
    ")\n",
    "clf.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Predict the hold out test set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = clf.predict(X_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Calculate the accuracy of the classifier on the test set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8263665594855305"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy_score(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Comparison to weighted and unweighted biased random walks"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Lets compare weighted random walks with unweighted random walks. This simply requires toggling the weight parameter to False in the `run` method of the BiasedRandomWalk. Note, the weight parameter is by default set to False, hence, not specifying the weight parameter would result in the same action. \n",
    "\n",
    "#### Step 1: performing unweighted walks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of random walks: 24850\n"
     ]
    }
   ],
   "source": [
    "walks = rw.run(\n",
    "    nodes=G.nodes(),  # root nodes\n",
    "    length=walk_length,  # maximum length of a random walk\n",
    "    n=10,  # number of random walks per root node\n",
    "    p=0.5,  # Defines (unormalised) probability, 1/p, of returning to source node\n",
    "    q=2.0,  # Defines (unormalised) probability, 1/q, for moving away from source node\n",
    "    weighted=False,  # since we are interested in unweighted walks\n",
    "    seed=42,  # for reproducibility\n",
    ")\n",
    "print(\"Number of random walks: {}\".format(len(walks)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Step 2: learning node embeddings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = Word2Vec(walks, size=128, window=5, min_count=0, sg=1, workers=1, iter=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Plot the embeddings generated from unweighted random walks."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Retrieve node embeddings and corresponding subjects\n",
    "node_ids = model.wv.index2word  # list of node IDs\n",
    "node_embeddings = (\n",
    "    model.wv.vectors\n",
    ")  # numpy.ndarray of size number of nodes times embeddings dimensionality\n",
    "node_targets = subjects.loc[node_ids].astype(\"category\")\n",
    "\n",
    "# Apply t-SNE transformation on node embeddings\n",
    "tsne = TSNE(n_components=2, random_state=42)\n",
    "node_embeddings_2d = tsne.fit_transform(node_embeddings)\n",
    "\n",
    "# draw the points\n",
    "alpha = 0.7\n",
    "\n",
    "plt.figure(figsize=(10, 8))\n",
    "plt.scatter(\n",
    "    node_embeddings_2d[:, 0],\n",
    "    node_embeddings_2d[:, 1],\n",
    "    c=node_targets.cat.codes,\n",
    "    cmap=\"jet\",\n",
    "    alpha=0.7,\n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Visual comparison of node embedding plots for weighted and unweighted random walks illustrates the differences between the two."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Using unweighted random walks to train classifiers to predict the subject of a paper in Cora."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Array shapes:\n",
      " X_train = (1863, 128)\n",
      " y_train = (1863,)\n",
      " X_test = (622, 128)\n",
      " y_test = (622,)\n"
     ]
    }
   ],
   "source": [
    "# X will hold the 128-dimensional input features\n",
    "X = node_embeddings\n",
    "\n",
    "# y holds the corresponding target values\n",
    "y = np.array(node_targets)\n",
    "X_train, X_test, y_train, y_test = train_test_split(\n",
    "    X, y, train_size=0.75, test_size=None, random_state=42\n",
    ")\n",
    "print(\n",
    "    \"Array shapes:\\n X_train = {}\\n y_train = {}\\n X_test = {}\\n y_test = {}\".format(\n",
    "        X_train.shape, y_train.shape, X_test.shape, y_test.shape\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LogisticRegressionCV(Cs=10, class_weight=None, cv=10, dual=False,\n",
       "                     fit_intercept=True, intercept_scaling=1.0, l1_ratios=None,\n",
       "                     max_iter=1000, multi_class='ovr', n_jobs=None,\n",
       "                     penalty='l2', random_state=5434, refit=True,\n",
       "                     scoring='accuracy', solver='lbfgs', tol=0.01,\n",
       "                     verbose=False)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clf = LogisticRegressionCV(\n",
    "    Cs=10,\n",
    "    cv=10,\n",
    "    tol=0.01,\n",
    "    max_iter=1000,\n",
    "    scoring=\"accuracy\",\n",
    "    verbose=False,\n",
    "    multi_class=\"ovr\",\n",
    "    random_state=5434,\n",
    ")\n",
    "clf.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = clf.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8247588424437299"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy_score(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Generally, the node embeddings extracted from unweighted random walks are more representative of the underlying community structure of the `Cora` dataset than the embeddings learnt from weighted random walks over the artificially weighted Cora network. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Testing whether weights = 1 gives identical result to unweighted random walks"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Lastly, we perform a quick check of whether weighted biased random walks are identical to unweighted biased random walks when weights over the edges are identically 1. \n",
    "\n",
    "First, set weights of all edges in the graph to 1."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "unweighted_G, _ = dataset.load(\n",
    "    largest_connected_component_only=True,\n",
    "    edge_weights=None,\n",
    "    str_node_ids=True,  # Word2Vec requires strings, not ints\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Quick check to confirm if all edge weights are actually 1."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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7SZKkjhjuJEmSOmK4kyRJ6ojhTpIkqSOGO0mSpI4Y7iRJkjpiuJMkSeqI4U6SJKkjhjtJkqSOGO4kSZI6YriTJEnqiOFOkiSpI4Y7SZKkjhjuJEmSOmK4kyRJ6ojhTpIkqSOGO0mSpI4Y7iRJkjpiuJMkSeqI4U6SJKkjhjtJkqSOGO4kSZI6YriTJEnqiOFOkiSpI4Y7SZKkjhjuJEmSOmK4kyRJ6ojhTpIkqSOGO0mSpI4Y7iRJkjpiuJMkSeqI4U6SJKkjhjtJkqSOGO4kSZI6YriTJEnqiOFOkiSpI4Y7SZKkjhjuJEmSOmK4kyRJ6sjEwl2SrZOcm+SiJJcleW0r3z3JOUlWJPloki1b+VZtfkVbvnRkW69u5d9KcsCk2ixJkrTYTXLk7mbgcVX1h8DewIFJHg68EXhTVd0HuB44stU/Eri+lb+p1SPJXsBhwAOAA4F3JNlsgu2WJElatCYW7mpwU5vdoj0KeBzw8VZ+PHBImz64zdOW75ckrfyEqrq5qr4LrAD2nVS7JUmSFrOJnnOXZLMkFwLXAsuA7wA3VNWtrcrVwC5tehfgKoC2/EbgbqPls6wzuq+jkixPsnzlypWT6I4kSdKCN9FwV1W3VdXewK4Mo233m+C+jquqqaqaWrJkyaR2I0mStKBtlKtlq+oG4DTgEcB2STZvi3YFrmnT1wC7AbTldwWuGy2fZR1JkiSNmOTVskuSbNem7wj8GfANhpD31FbtcOAzbfqkNk9b/pWqqlZ+WLuadndgT+DcSbVbkiRpMdt83VU22M7A8e3K1jsAJ1bV55JcDpyQ5A3ABcC7W/13Ax9IsgJYxXCFLFV1WZITgcuBW4EXVdVtE2y3JEnSopVhcKwvU1NTtXz58vluhiRJ0qyS1ebOr6qpudq2d6iQJEnqiOFOkiSpI2OFuySPHKdMkiRJ82vckbv/M2aZJEmS5tFar5ZN8gjgj4AlSV46sugugPd3lSRJWmDW9VUoWwLbtHrbjpT/lP/6rjpJkiQtEGsNd1V1BnBGkvdV1fc3UpskSZK0gcb9EuOtkhwHLB1dp6oeN4lGSZIkacOMG+4+Bvwb8C7Au0NIkiQtUOOGu1ur6l8n2hJJkiTdbuN+Fcpnk/xlkp2T7DD9mGjLJEmStN7GHbk7vP18xUhZAXvMbXMkSZJ0e4wV7qpq90k3RJIkSbffWOEuyXNmK6+q989tcyRJknR7jHtY9qEj01sD+wFfBwx3kiRJC8i4h2X/enQ+yXbACRNpkSRJkjbYuFfLzvRzwPPwJEmSFphxz7n7LMPVsQCbAfcHTpxUoyRJkrRhxj3n7p9Hpm8Fvl9VV0+gPZIkSbodxjosW1VnAN8EtgW2B349yUZJkiRpw4wV7pIcCpwLPA04FDgnyVMn2TBJkiStv3EPy74GeGhVXQuQZAnwZeDjk2qYJEmS1t+4V8veYTrYNdetx7qSJEnaSMYduftiklOAj7T5pwMnT6ZJkiRJ2lBrDXdJ7gPsVFWvSPLfgD9ui74GfGjSjZMkSdL6WdfI3ZuBVwNU1SeBTwIk+YO27EkTbZ0kSZLWy7rOm9upqi6ZWdjKlk6kRZIkSdpg6wp3261l2R3nsiGSJEm6/dYV7pYnef7MwiTPA86fTJMkSZK0odZ1zt1LgE8leSb/FeamgC2Bp0yyYZIkSVp/aw13VfVj4I+SPBZ4YCv+fFV9ZeItkyRJ0nob63vuquo04LQJt0WSJEm3k3eZkCRJ6ojhTpIkqSOGO0mSpI4Y7iRJkjpiuJMkSeqI4U6SJKkjhjtJkqSOGO4kSZI6YriTJEnqiOFOkiSpI4Y7SZKkjhjuJEmSOmK4kyRJ6ojhTpIkqSOGO0mSpI4Y7iRJkjpiuJMkSeqI4U6SJKkjhjtJkqSOGO4kSZI6YriTJEnqiOFOkiSpI4Y7SZKkjhjuJEmSOmK4kyRJ6ojhTpIkqSOGO0mSpI4Y7iRJkjpiuJMkSeqI4U6SJKkjhjtJkqSOGO4kSZI6YriTJEnqiOFOkiSpI4Y7SZKkjhjuJEmSOmK4kyRJ6ojhTpIkqSMTC3dJdktyWpLLk1yW5G9a+Q5JliW5ov3cvpUnyVuTrEhycZKHjGzr8Fb/iiSHT6rNkiRJi90kR+5uBV5WVXsBDwdelGQv4FXAqVW1J3Bqmwd4PLBnexwF/CsMYRA4GngYsC9w9HQglCRJ0uomFu6q6odV9fU2/TPgG8AuwMHA8a3a8cAhbfpg4P01OBvYLsnOwAHAsqpaVVXXA8uAAyfVbkmSpMVso5xzl2Qp8GDgHGCnqvphW/QjYKc2vQtw1chqV7eyNZVLkiRphomHuyTbAJ8AXlJVPx1dVlUF1Bzt56gky5MsX7ly5VxsUpIkadGZaLhLsgVDsPtQVX2yFf+4HW6l/by2lV8D7Day+q6tbE3lq6mq46pqqqqmlixZMrcdkSRJWiQmebVsgHcD36iqfxlZdBIwfcXr4cBnRsqf066afThwYzt8ewqwf5Lt24UU+7cySZIkzbD5BLf9SODZwCVJLmxlfwscC5yY5Ejg+8ChbdnJwEHACuAXwBEAVbUqyeuB81q911XVqgm2W5IkadHKcNpbX6ampmr58uXz3QxJkqRZJavNnV9VU3O1be9QIUmS1BHDnSRJUkcMd5IkSR0x3EmSJHXEcCdJktQRw50kSVJHDHeSJEkdMdxJkiR1xHAnSZLUEcOdJElSRwx3kiRJHTHcSZIkdcRwJ0mS1BHDnSRJUkcMd5IkSR0x3EmSJHXEcCdJktQRw50kSVJHDHeSJEkdMdxJkiR1xHAnSZLUEcOdJElSRwx3kiRJHTHcSZIkdcRwJ0mS1BHDnSRJUkcMd5IkSR0x3EmSJHXEcCdJktQRw50kSVJHDHeSJEkdMdxJkiR1xHAnSZLUEcOdJElSRwx3kiRJHTHcSZIkdcRwJ0mS1BHDnSRJUkcMd5IkSR0x3EmSJHXEcCdJktQRw50kSVJHDHeSJEkdMdxJkiR1xHAnSZLUEcOdJElSRwx3kiRJHTHcSZIkdcRwJ0mS1BHDnSRJUkcMd5IkSR0x3EmSJHXEcCdJktQRw50kSVJHDHeSJEkdMdxJkiR1xHAnSZLUEcOdJElSRwx3kiRJHTHcSZIkdcRwJ0mS1BHDnSRJUkcMd5IkSR0x3EmSJHXEcCdJktQRw50kSVJHDHeSJEkdMdxJkiR1xHAnSZLUEcOdJElSRwx3kiRJHZlYuEvyniTXJrl0pGyHJMuSXNF+bt/Kk+StSVYkuTjJQ0bWObzVvyLJ4ZNqryRJUg8mOXL3PuDAGWWvAk6tqj2BU9s8wOOBPdvjKOBfYQiDwNHAw4B9gaOnA6EkSZJ+18TCXVWdCayaUXwwcHybPh44ZKT8/TU4G9guyc7AAcCyqlpVVdcDy/jdwChJkqRmY59zt1NV/bBN/wjYqU3vAlw1Uu/qVram8t+R5Kgky5MsX7ly5dy2WpIkaZGYtwsqqqqAmsPtHVdVU1U1tWTJkrnarCRJ0qKyscPdj9vhVtrPa1v5NcBuI/V2bWVrKpckSdIsNna4OwmYvuL1cOAzI+XPaVfNPhy4sR2+PQXYP8n27UKK/VuZJEmSZrH5pDac5CPAY4Adk1zNcNXrscCJSY4Evg8c2qqfDBwErAB+ARwBUFWrkrweOK/Ve11VzbxIQ5IkSU2GU9/6MjU1VcuXL5/vZkiSJM0qWW3u/Kqamqtte4cKSZKkjhjuJEmSOmK4kyRJ6ojhTpIkqSOGO0mSpI4Y7iRJkjpiuJMkSeqI4U6SJKkjhjtJkqSOGO4kSZI6YriTJEnqiOFOkiSpI4Y7SZKkjhjuJEmSOmK4kyRJ6ojhTpIkqSOGO0mSpI4Y7iRJkjpiuJMkSeqI4U6SJKkjhjtJkqSOGO4kSZI6YriTJEnqiOFOkiSpI4Y7SZKkjhjuJEmSOmK4kyRJ6ojhTpIkqSOGO0mSpI4Y7iRJkjpiuJMkSeqI4U6SJKkjhjtJkqSOGO4kSZI6YriTJEnqiOFOkiSpI4Y7SZKkjhjuJEmSOmK4kyRJ6ojhTpIkqSOGO0mSpI4Y7iRJkjpiuJMkSeqI4U6SJKkjhjtJkqSOGO4kSZI6YriTJEnqiOFOkiSpI4Y7SZKkjhjuJEmSOmK4kyRJ6ojhTpIkqSOGO0mSpI4Y7iRJkjpiuJMkSeqI4U6SJKkjhjtJkqSOGO4kSZI6YriTJEnqiOFOkiSpI4Y7SZKkjhjuJEmSOmK4kyRJ6ojhTpIkqSOGO0mSpI4Y7iRJkjpiuJMkSeqI4U6SJKkjhjtJkqSOGO4kSZI6smjCXZIDk3wryYokr5rv9kiSJC1EiyLcJdkMeDvweGAv4BlJ9prfVkmSJC08iyLcAfsCK6rqyqr6NXACcPA8t0mSJGnBWSzhbhfgqpH5q1uZJEmSRmw+3w2YK0mOAo5qszcnuXQ+2zNPdgR+Mt+NmAf2e9OyKfZ7U+wz2O9Nzabc73vN5QYXS7i7BthtZH7XVvZbVXUccBxAkuVVNbXxmrcw2O9Ni/3edGyKfQb7Pd/t2Ng28X4vncttLpbDsucBeybZPcmWwGHASfPcJkmSpAVnUYzcVdWtSf4KOAXYDHhPVV02z82SJElacBZFuAOoqpOBk8esftwk27KA2e9Ni/3edGyKfQb7vamx33MkVTXX25QkSdI8WSzn3EmSJGkMiyLcrevWY0m2SvLRtvycJEtHlr26lX8ryQHjbnO+jdHnRyf5epJbkzx1xrIvJrkhyedmlP9V214l2XHSfdgQY/T7pUkuT3JxklOT3KuV753ka0kua8uePrLOh9o2L03yniRbbMw+jWOMfr8gySVJLkzyH9N3aEmybyu7MMlFSZ7SyrdOcm4ruyzJazd2n8Yx7t9hkj9vv7dTM8rvmeSmJC+fUb5Zkgtm/g0sFGO83s9NsnLktX3eyLLbRspPGilPkr9P8u0k30jy4o3Vn3GN83onObT9jV+W5MMj5fdM8qXWt8un3+eTnDXyfPwgyac3Tm/GN8br/aaRPnw7yQ2t/LEj5Rcm+VWSQ9qy/dr/gOn3hPts7H6tzRh9vmeS09rf6cVJDmrlWyQ5vr3ffSPJq0fW+Zv2Pn5ZkpdszP6Mq/2PuTZr+Dq29nf61va8XJzkISPLDk9yRXscPlK+T3s+VrR1s86GVNWCfjBcQPEdYA9gS+AiYK8Zdf4S+Lc2fRjw0Ta9V6u/FbB7285m42xzEfR5KfAg4P3AU2cs2w94EvC5GeUPbut9D9hxvvu5gf1+LHCnNv3Ckdf6vsCebfoewA+B7dr8QUDa4yPAC+e7rxvQ77uMTD8Z+GKbvhOweZveGbiW4VzaANu08i2Ac4CHz3df17ffrd62wJnA2cDUjGUfBz4GvHxG+UuBD8/8G1gIjzFf7+cCb1vD+jetofyI9n5whzZ/9/nu6wb0e0/gAmD7mX0ATgf+rE1vM/0+MGP9TwDPme++rm+/Z9T/a4aLBmeW7wCsGnn/+zZw/zb9l8D75ruv6/laHzf9Xszwv/p7bfq/Aye06Tsx/L9aCjwQuHT6PQ/4MnCf+e7rLH1/NPAQ4NI1LD8I+EJ7j344cM7I63tl+7l9m57+Ozi31U1b9/HrasdiGLkb59ZjBwPHt+mPA/u1ZHswwy/JzVX1XWBF295Cv53ZOttXVd+rqouB38xcuapOBX42S/kFVfW9yTR5TozT79Oq6hdt9myG7zykqr5dVVe06R8whJwlbf7kahj+SHbdKL0Z3zj9/unI7J2BauW/qKpbW/nWI+VVVTe18i3aY6GdYDvu3+HrgTcCvxotbCMY3wUum1G+K/AE4F2TaPQcmNT7zwuB11XVbwCq6to52OZcGqffzwfeXlXXw3/1oY1Ub15Vy1r5TSPvA7Q6dwEeByy0kbv1fb2fwfAhdKanAl8Y6XcBd2nTdwV+MEftnQvj9HlN7S/gzkk2B+4I/Br4KXB/hiA0/Z53BvDfJtuN9VdVZzKE8DU5GHh/e48+G9guyc7AAcCyqlrVfv+XAQe2ZXepqrPb/7D3A4esqx2LIdyNc+ux39ZpL/qNwN3Wsu5Cv53ZQm/fpKxvv49k+BSzmiT7Mnxa/M6M8i2AZwNfvN0tnVtj9TvJi5J8B/hH4MUj5Q9Lcmww9u8AAAkkSURBVBlwCfCC6bDXDk1eyBB0l1XVORPsw4ZYZ7/bIYvdqurzM8q3Af4nMNvh5jcDr2SWDz4LxLi/53/eDtt8PMnol7hvnWR5krOnD9E19wae3pZ9IcmeE2j77TFOv+8L3DfJV1v/DhwpvyHJJ9thvH9KstmMdQ8BTp3xQWghGPt9LcNpJrsDX5ll8WGsHvqeB5yc5GqG97Vj56S1c2OcPh8DPKu1/2SGEUsYBmh+znD05f8C/1xVqxhG7R6V5G5J7sQwArYbi8/65pJd2vTM8rVaDOFO+h1JngVMAf80o3xn4APAEdMjGCPeAZxZVWdtnFbOrap6e1XdmyHU/K+R8nOq6gHAQ4FXJ9m6ld9WVXszjFTum+SB89HuDZXkDsC/AC+bZfExwJtGRien13kicG1VnT/5Fk7UZ4GlVfUghk/wx48su1cN3+L/34E3J7l3K98K+FVb9k7gPRuzwXNkc4ZDs49hGMF6Z5LtWvmjgJcz/J7vwXDoetSaRrwWk8OAj1fVbaOF7X3tDxi+63Xa/wccVFW7Au9l+FtZTJ7BcCh5V4ag9oH2N78vcBvD6TW7Ay9LskdVfYNhBP9LDB/QL2z1NIvFEO7Weeux0TptKPeuwHVrWXecbc6nhd6+SRmr30n+FHgN8OSqunmk/C7A54HXtOHu0XWOZjhM+9IJtPv2Wt/X+wRmGZZvb343MZybMlp+A3AacODMdebZuvq9LUNfTk/yPYZzTk7KcFHFw4B/bOUvAf42wxedPxJ4cis/AXhckg9OuB/ra5zbKV438rv9LmCfkWXXtJ9XMpyH9uC26Grgk236Uwzn5C4k4/yeXw2cVFW3tFNpvs0Q9q4GLmyH+W5lOPQ6eiL6jgyh4PMsPOvz9z1zdG7aocCnquoWgCRLgD8cGY3/KPBHc9PcOTFOn48ETgSoqq8xnFayI8OHli+234Frga8yfJCnqt5dVftU1aOB6xl+Pxab9c0l17D6qUTj5YF1nZQ33w+GT2xXMiT46RMzHzCjzotY/YKKE9v0A1j9goorGU70XOc2F3qfR+q+jxkXVLTyx7CGk8lZuBdUjPNaP5jhcOueM8q3BE4FXjLLdp8H/Cdwx/nu4+3o954j008Clrfp3fmvCyruxXDeyo4MQXb6gpI7AmcBT5zvvq5vv2fUP50ZF1S08mOYcUFFK1/j38BC7zew88j0U4Cz2/T2wFZtekfgCtqJ6gyH5f5ipO/nzXdfN6DfBwLHj/TvKoZTbDZr9Ze0Ze8FXjSy3gum11toj3F/z4H7tffmzLLsbOCxM7b5E+C+bf5I4BPz3df1fK2/ADy3Td+/vXeF4cjEe1v5nYHLgQe1+bu3n/cEvjn9HrfQHgwXgKzpgoonsPoFFee28h0YziHevj2+C+zQls28oOKgdbZhvp+EMZ+ogxgS+ncYRmUAXscwcgND4v8YwwUT5wJ7jKz7mrbetxi5wmS2bS6kxxh9fijDp9mfM4xSXjay7lnASuCXrc4BrfzFbf7W9of0rvnu5wb0+8vAjxmG5C9k+JQP8CzglpHyC4G927Jb2/amy/9uvvu5Af1+C8OFAxcyjMI9oJU/e6T868AhrfxBDFcdXsxwrsqC6/M4/Z5R93Q6CHdjvt7/0F7Xi9rrfb9W/kcM51Ze1H4eObLN7RhGri4BvsYwsjPvfV3Pfofh8OLlrR+Hjaz7Z+33+RKGD7VbzvjdOHC++7eh/W7zxwDHzrLuUoaRmjvMKH/KyO/C6Yz831sIjzFe670YRuUuau9f+7fybRj+n1/Wfg9eMbLNs1rZRcB+893HNfT7IwznC97C8P/2SIYPHy9oywO8vT0vl4y+pwF/wZBjVjCcWjRdPsXwPv4d4G3M8gFg5sM7VEiSJHVkMZxzJ0mSpDEZ7iRJkjpiuJMkSeqI4U6SJKkjhjtJkqSOGO4kdSXJc5O8bZ7b8Lr2Zdtrq3NMkpfPUr5dkr+cXOsk9c5wJ0lzrKr+rqq+vIGrbwcY7iRtMMOdpEUjybOSnJvkwiT/Pn3z+CRHJPl2knMZbkE2Xf/e7Qb0lyR5Q5KbRpa9Isl5SS5O8tpZ9vW0JP/Spv8myZVteo8kX23T+yQ5I8n5SU5p9wAlyfuSPLVNH5Tkm63OW5N8bmQ3eyU5PcmVSV7cyo4F7t36+E9Jdk5yZpu/NMmj5vI5ldQfw52kRSHJ/YGnA4+sqr0Zbhr+zBaoXssQ6v6Y4Zvvp70FeEtV/QHDt8VPb2t/hnuW7gvsDeyT5NEzdnkWw83qaT+vS7JLmz4zyRbA/2G4/d8+wHuAv5/R5q2Bf2e4O84+DLeFG3U/4IDWjqPbNl8FfKeq9q6qVzDca/OU1uc/ZPg2f0lao83nuwGSNKb9gH2A85LAcM/ca4GHAadX1UqAJB8F7tvWeQRwSJv+MPDPbXr/9rigzW/DEPbOnN5ZVf0oyTZJtmW4ofeHgUczhLtPAr8PPBBY1tqzGcNth0bdD7iyqr7b5j8CHDWy/PNVdTNwc5JrgZ1m6fd5wHta8Pt0VRnuJK2V4U7SYhGGm8O/erXC5JA11F/Xtv6hqv59HfX+EziC4d7UZzHc+/ERwMsYbl5+WVU9YgP2P+3mkenbmOU9uarObKOKTwDel+Rfqur9t2OfkjrnYVlJi8WpwFOT3B0gyQ5J7gWcA/xJkru10a2njaxzNvDnbfqwkfJTgL9Isk3b1i7T253hLODlDCN6FwCPBW6uqhsZAt+SJI9o29giyQNmrP8tYI8kS9v808fo58+AbadnWh9/XFXvBN4FPGSMbUjahDlyJ2lRqKrLk/wv4EtJ7gDcAryoqs5OcgzwNeAGVj8n7SXAB5O8BvgicGPb1pfaOXxfa4dUbwKexXCYd9RZDIdkz6yq25JcBXyzbePX7aKJtya5K8P76ZuBy0ba/Mv2tSZfTPJzhkOs6+rndUm+muRS4AvApcArktzS2vmcMZ8ySZuoVNV8t0GSJiLJnYBfVlUlOQx4RlUdvJHbsE1V3ZQhRb4duKKq3rQx2yBp0+LInaSe7QO8rQWrGxjOmdvYnp/kcGBLhkO76zrPT5JuF0fuJEmSOuIFFZIkSR0x3EmSJHXEcCdJktQRw50kSVJHDHeSJEkdMdxJkiR15P8BiDKHBWAaTuYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, weights = unweighted_G.edges(include_edge_weight=True)\n",
    "\n",
    "wt, cnt = np.unique(weights, return_counts=True)\n",
    "\n",
    "plt.figure(figsize=(10, 8))\n",
    "plt.bar(wt, cnt, width=0.005, color=\"b\")\n",
    "plt.title(\"Edge weights histogram\")\n",
    "plt.ylabel(\"Count\")\n",
    "plt.xlabel(\"edge weights\")\n",
    "plt.xticks(np.linspace(0, 1, 10))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Step 1: create the biased random walk object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "rw = BiasedRandomWalk(unweighted_G)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Step 2: sample random walks from the graph."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of random walks: 24850\n"
     ]
    }
   ],
   "source": [
    "weighted_walks = rw.run(\n",
    "    nodes=unweighted_G.nodes(),  # root nodes\n",
    "    length=walk_length,  # maximum length of a random walk\n",
    "    n=10,  # number of random walks per root node\n",
    "    p=0.5,  # Defines (unormalised) probability, 1/p, of returning to source node\n",
    "    q=2.0,  # Defines (unormalised) probability, 1/q, for moving away from source node\n",
    "    weighted=True,  # indicates the walks are weighted\n",
    "    seed=42,  # seed fixed for reproducibility\n",
    ")\n",
    "print(\"Number of random walks: {}\".format(len(weighted_walks)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Compare unweighted walks with weighted walks when all weights are uniformly set to 1. Note, the two sets should be identical given all other parameters and random seeds are fixed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "assert walks == weighted_walks"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Step 3: learn node embeddings from the walks sampled above."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "weighted_model = Word2Vec(\n",
    "    weighted_walks, size=128, window=5, min_count=0, sg=1, workers=1, iter=1\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Plot the embeddings in 2-D using t-SNE transformation for visual comparison to the embeddings learnt from unweighted walks."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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OiDeYE3RZ7lQE3ykXW4eXuiWVCvn03rFlMmZoXfl6mUQZmz2p8yrQuYOKMqpQgaUoyogna+G5Lvh3QmqYDigZmlqkTSPiXQXwqwb4W7t0VbpGiv6rI/DbajECPaMKTqyViJeHRLVmR8T/an1xTd7JXVGU0YX+6SqKMqLJWjitTqJDuXmJ93bAL6vgkH4OU+4rC9Pwz7ik7JyghqrQgQVpeL4L9imW7/8yTsxcl2RgXEi6MjWlpygbJyqwFEUZcaR88Y9alIbzmsQ9foILlWEZH5Py4XfNMtZm5e7HwWB+MI/QWalA3QAvdsHfO+D1pBS5FwTmrB5weQucWC5dmv2dTagoyuhCBZaiKCOGLl9mHd7dDvWeFHfndEmHD5960t1X7EBHVqwMdh4C24jqleqqcng+3NohdVKulZqsNl/sHXYukOjbpc0SxRroaNuitDjD/zchtWE/rJCImQo5RRkZaPBaUZQRw0/rpFh8WVYsCizi/5QzL+/yJZoEQbRoiM5g20TFzb7eE+d7G3QR1nlQm8kPym70xWy028Jb3dDqQ5ED17cN7HoWpWD3RXBVC8xNSvryuOVijqooyshABZYyrHQn4d15sLR2uFeiDDefZuCRTon69DaOxgtubR40ZKQeasshMt00Bq4cD18qgiZPhNbUiIzACRspRncIfLAQG4f2QAx+nJL3Zvvg4L42OoL3fuBSEXcg4jODHJfzmsT0VFGU4UdThMqgsrwBzvg9PPkipDIwcwr83ynwtS/Cw8/C72+ErAeeB9ttDhedBpX96LpSRi/1WYlQeUhasDc9YpH6pvFhuHzcqjVRg0mlC7+rCdZo4YMU/CAlKcFc6rDnmmOOiK9OH6aa/qXuWjy4sBGeT8j+P0iv+LhBhFZjFpZmJdqmKMrwogJLGTSWN8BO35SvuU/vb3wAB/0YvvoFqGuEijKIReXxNz6AX10BfzlneNetDA/TwiKYPNu7uAIREttH4f7JQyuurIUP01LvFDESyZoQlhPoGEeiWj3TAQ5grMwldJEOw/7s+/Q66U6sdiHt549Pz0ifQcRpkdZgKcqIQFOEymrpSsA//wOvv7d+6Y2z/wTL61d9re/Ldts6RVyBfLqvGQNz3oNl9f1fuzL6GBOCg4MxMKv7dQsDR5QNrbhanhYPrGOWwdUtUlh+2FJ4Owl7FkFZMGMwZkTkxIDxLrgOlDsSTZocXv/9f5iWYv4aV953fDUHxwKTXEmdKooy/OifotIrf7gZzvsrZDLy/ZTx8I8/wexN+r6Nh55d/YUy60Nrx4r3GSMXpY44TKxZn1Uro50bJsiQ5acSqz5WgBSMHzRE3lftHvymEf4Vh08yIu5mRMXfKunD+U1w/yT5/v5OmOiIi3vWSjTOGPl/vQdH9mPNjVkRVrkU4/LM6p97UoV2ESrKSEEjWMoqPPWipOq6EpDOQDYLi5bBAT+SWqm+8OAz0Ny++sddZ9VtdacgGoHpk9Z/7croJuTAE1Nhtxis7L6QAY4uE3f1oeCcRkkJgnwSDRmYlxbhFXMklfl+Cn5WBS9MgxenwfPT4POFIqoaPamd+nYZfLUfA5pnRsC3sr9MkHbsDQco1nE6ijJi0AjWxk7qeYifD95CcGdB8W/4zZ92JZWGkCufhn0LNguf1sNzr0k0y/Nh08kQ6uU3qLUdLroOCqLQ1d37bstKYJPJUp9VGBMh51v47cn5tOG60NQq3YglRbDN7N7XpYwOPMQ8tLdfncwAdOL1hYasiKsaF5YGNU+Okbqq5VkZl2MQ0QXSRegaiAJ/GQ+LMhJ52jQCVf38XRwfhsNLZUxP1EhNV64RINe5mOOLQ+AJpihK39DL0MaE1wypJ8CUQXRfSD0M7d8G6wMh8Gqh9SUamj7AmHGfpRpyXzMZOOMyEUOplHT7/emXsONWK+7mjfel7mqTyfDRInl+T6IRKXL/45nw9EvwwutQXQmH7QtbzuzbW0l0wytvQzIFHy2Gux7Jd55VV8KVv4ZpE9f/UCnDx5Od8GqgrlzkZ5q73dMO59dAxSBHatqDonXHiEBakpUPAA5iwRD3xVF+h8BMtNsX81MTpPI2ichtoPjZGNgiCvd0wKdZ8QnzEaGVo4je7S0URRkeVGBt4FgLny5bSKl3MiWRZ3DwkEuVi5TjWnDy+Qvrd/GtvW7k4rvOwlrzmbiyVqJWy+shkQSMRJ++8n34z+3wuRn5fUaCgt7J48TnqqEFMllIp2HKBLjuXNhzJ3BdOPJrclsT9U3w1H+lZmvHrSAahh+fD3XNsv3WDpgxJS+omtvgZ7+Dey/XepTRyGNdUuOU64rL4QEtFt5NwheKBncNUyPS+dcdGIVuGoaFGRnfU2ZkLRdXw61tcHsbJCxMC8HPq2C3QVibY2D/ErktzcBen0iUzEeOU6mB2WG4oAnumqi/94oyElCBtQHT0gbX3fEc39jtBxRXfwy+xRowJnfpigNhsEWfzSMxxPjqTk9w2b1nkcmAcURcWSt1U11JCIckcpRKy/f7/xDm3CtRpZsfgFfmwtI6EVWbbQJTJ0B7XCJZD1y5bjVWr8yF0y7JR8Fu+od0GXYnxTk7mYJ0FuYthjFlUFIMlWWy/3mLYda0gT2myuATRlJv3b2kA33gsc51E1ifZuB3TfBEXL7/Wgn8Yoyk3lZHxMAZY+DsRvGxKnJgSkhqnH4xBvYqFhf1K5qhKwivfZqBebVw9yTYMrYOb3gdmRyWuqwSR/5sCx3pZAQZPt3mD36ET1GUtaMCawPm7D9lOP6L51JZ0gRID7kNPBPyn3CzSNls5LPvp45rZeYUiQS1d0ltSSwqgspxIJ6QAvVcOmRZA3zzdBFB3UmprxpbKQKnKwFlpSLOzj1ZxJXvy+tDIUkhdnbB7OlQWizplmUZSbeUWim2j0ZgTGA+2twm9VbFhRCNirhyfRFzi2slxZhbVzI1pIdbGSAOKoG7OqBzNQ0V/+yCi/q4raUZOHAxzMtIzNYA17XCv7vgkSkwaQ0ia78SefyeDjFB3b0QDimBUlfMPi9rhlYvXwOVstCdESuHqyf0/f2uD+XBGoqN1ITNS0mUq9SVOi1FUYafARNYxhgXmAMss9YeYIyZDtwNjAFeB4611q6uAUYZYGoboa5hISWFCRzTc3aGwWIxn5XHWrAZMBHwPSDNpMn7csnPDFffJduZVANHfAVOvUiETE9x5RhJ2b03H8qKYeY02cuU8WIiGu+C80+R1F5RAfz5Dvjb42LFEE/IfYWFcuHb9wh46X9kHEjGh/DH8MECiGRh3BiYNE4EG0DGkwRnJJy3koh3yddEtxTYbzZ9CA60MuDsVSTF2vd1rni/g0S3sutQ6H5jK3ySFY+qXEG6ZyW9dmMrnF295tdvGes9GvVsXMxFc0sxyEeVrM13Hg4mR5bC2fXwnifzDkHW0uTBuQ1wybjBX4OiKGtmIG0aTgU+6PH9JcAfrbUzgFbguwO4L2UtxLsgnS3EMT5tXWODe22PL5agsRvwwe8Ck4LYoZjSS/jaHvDw1fDK3fDAn+GYg+Aru0sUyw824/tSR1VSJHVZjiP3tbZDYwuEA7PFrWaL2LrgWrjxfhE/ze1Q3yypvJJCCBXCpTdDy8dQ5ULDIpjrQvdhkp5cUiddgkUFBJE4WUM0LJEwa2X/tY0isM49BSI6LmRUYgycXw2VRuKqEcQDqyzo1Nu/ZMXnv5yQOqiFvXx8+2+3/L6GekR13OD35z+r6XDtCxc2yV+Q4bPsOh6SwrRDEEE6sESEX4uf7yaMGYloXd3a+7FQFGVoGRCBZYyZBOwPXB98b4C9gPuCp9wCHDIQ+1L6xrSJEE9NYkHtFiTTBaTSojaMsUF60ALFEPsaVM2Fin/A2HlQcQc4oeC5Il5y6cQbzhcLBINctNzp4BwIpQdCpFhmCr72Lrw7Hz5cBK++IwXupUXQ0AyPPw/jx0oEIZ6AwgJZRW0jNAVXiaYXoKUdOuNQkgU7AzJlEItAZ0IEXCQYqZIK6sAiIam/OvKrcNI34J4/wh47DP0xHyn4Ni+CRyuzIvDtivw8P2MghTim/7JKnrM8A9M+hs9/Ascvh9nzYf/F8juSY0pIfsd6Ho/cfyeuZ/x+eQY+Sa9+XuKuBeu33XXBGCmsjxkoDWqwShwIO7Km+zvWuglFUQaZgUoRXg6cAeQ+W44B2qy1ua7hTwFtmh9CwmH49Q8Mv7/uYk49+HtkvTSVJc1UlrTgOj7GxMCdCGXXgFMO4TX7I3ge/PEW+VpUDJ1HQ2pX0WIfW3D3hK4rwF8OjiseWr4vJqVzP5LIU8iVKJPnBZ/8gxRjV0Iibsk01H4KTR+J03s0AoVhcEuhuwmSSXhnnqT+0ln53vOgqFBSmJ/fXmq8Jo8fkkM85Dwdh0uaoN2HQ0ukCNvt8RGpPiPjXF5MyEV22xjcMRE2WQ9fseHGGBms/KUiuLZV6o2+Wgw/rhTRBbDHIrFPcMl7Qz3eBb+oh98HvwMnVMATXYE5KICRzsByF05Yz6HiT8al8D0nrnqmCUPAyZXrt911pTAocg8H8xs9K9G53GMjlawN/r4d7XZUNmz6LbCMMQcADdba140xe67H608ETgSYMmVKf5ej9GCvXWDSuBoeePDLvLlwX3be/AN23nIZRQW+5Ej8WvHEWg1L6+C8q8WnyiKCZvMZkN0F3tkdsdbOilFoZh50tyJXuaAmKhKWjr6Hn4WfnyA2D54nYivn5O77cpKNNwAuxGaJaOvugkQGwjHYuhzeMiLONp0sgooEHH4gbDkL7nkMrr9PUozWl0L3e/8olhAbCj9dDle25S/mc5Lw11b4eFOIunLR2m4B1Pn5sPQrSdhuISyfBUWjsKvMNXBAidxWZlEaFgXiKvd+c55ZN7bnBdauhfCncfCzeilUNxaqQ3BB9fpZPbyUgIub80Occ3X4uQL6fYpgq0HsIOzJiRUyoidXaJ8zYIkAXxqCKNq6Evfhsia4qQ2aPSnGP7AYzq2BKf2Y1agoI5WBiGDtDhxkjPka8iGxFLgCKDfGhIIo1iRgWW8vttZeC1wLsMMOO4zyxMbIY9Y0OOO4OeAtkkgV8O7CKVx65/7M+3QT/mdrw8+/u2rUZ/5i+OLx4jEVdsWOIVfn1HmoRJ5cR1IvBfgk7zFQYHDHgNMGWBFQC5bKNirL4Rv7wR2PQHmpRJo+WCjba+sE14PIZsD2gcGjCwkXtngL6pdJcX15qQyEbu2Q7x99Xvb/7KuSniyIyQX03Xlw0Mnwz+tF1FVXSq3YaKU2DX9uy0dIQGp9lmZlCPGl4+HGFhFXkK8NcoFOKyNfLh0nF7gXExJ92ToiHXYNPnwuCltHxRbhnaR83TLafwfywWRBUGO0cgDEIKmznhxaKjVLi9IiQjaJiA3DupK28L3l0uXqGHGVzx1nkGN62xDG6XcrhAkuLMyumKpMA7svhvsmiZ3ESMBaOKMO/t4JCS/vaXZzBzwSh8emwI7qQq9sYPT7FGqtPQs4CyCIYP3MWnu0MeZe4HCkk/B44MH+7ktZT4pOgY4fgd/CE6/uyZHnnEkm64KJMOcjuPUhuOR/g/E1k2CHLeHsK0X4lBQCRtJ3nifjcgqCkIHjeBSEu/AWWaxXLHkJBwxGZqf5Mirn8RfgwmvgtOOkI/GORyR1eMyBIphufVDE09gKqPsYWiZCURfEn4JwHJY1i03DuCp4/X3ZLoioWrxMvkYiQbrBSBH9h4tg12+JAAu7cPJR8OOjR6fQujaIXPX8Y3WQi9R9nSKwrm/LC6uc63mOFxJiznlKnaTamjKw2BOR5gAFBsY4UOdJJ5wLVDhwYiX8Zuz6iZGVafNkaHKjJxGenQvy6az1YaeYrNMnL3AIvp/ay1ktZGBmP1OlT3TCkowcL8eI4EoEv4vVIbh/CowZQlH6RhIqQ9CUhXbkZ5mL4nX58INaeHdTScUNN/9NwN86xKPLX+mxJh/2XwLvbAo1GslSNiAG83TwC+BuY8z5wJvADYO4L2VNRHaEsr9C1zX85PKTyHohMBHSGReLmICefJ7UNhUUwNaz4L9vSYQqd9GOhoNPnj6UvgvxvS3RUCchx8N3w1hr5MmdHp7n4vly9XQcGF8Ff39KIkynHQ/fXMm5PZOFp1+GaBamvuTW1CUAACAASURBVC+39k6JPN1xLfzmSnjuVZi/VLYXDgddhGmxe4iEV6zlSKTENf7TeklB+j6cfgnc/jA8d4vYQowmVneBzNXftHsyOmV1TArBz+ulRqfAwCc97AUcxCizq4fnlEW6065tgQkh+GE/a4o+SMEPa8XXqs2Xi/8mYbhuoox/WRlroTYr729cqPc6ndIQfLMU7uwQUWjIi60/DZJFwWNx8WdL2qC70UDElZquTSNDn+aqz0hULjdT3ZJ3dg8ZsWx4OwU7DnO68O0kHLxUfqd6wyC/F9e1wa/H9v4cRRmNDOhnG2vtv621BwT/X2it3claO8Nae4S1Vm0fh5Pw/9BirmVZ02Rct4B0xsVx8nYHng+tgaiZ85508sUTYrnQERdRU1PRyPFfuYGzK3/BUem/4TgeCVNEckoYU2gJ1WepCHcScrOYIIVYVADlZRKduu9JET4rc+I3pI6rrkn22dACqYzUbUWjcNzBEO8WvyvXlahUKi0RraJCeW7ufVhfHsNIlAzkAm0tvPEBnPjboTjYA8uPyvMRqxw+ckE9uhQubYLu4MGe0aucOD6mTOp0ylxYkFmxKHs1Xp74SCrxtvb8sV0frIXfNEDalwhZswcpH+am4ODF8O/4is+fn4ajlsEhS+GgpXDsMunY642bJoqreqUjYmdGSMxD9+2lZmsgCBuoCboS08F0g4yVY/jtsqEv2H4hIeK4525zVhEhM8An9/Uk48OhS1YvrnIY4L9dQ7IkRRkyRsLfoDJExCISAUql8xcDG5z4jJF0XioNjc3iym6CoFQ2C9Or3+T+cw/g/44/h+P2uorrx53InLLPc2jkeQ4pepm//PgqarJtJFJRrJXXRsIwa6qM1gmFAqf3XmT2tIlwx+/giH1hwlj48q5w8wWw8zby+JYz4SfHSF1WKg3ZjNg9bDpFzEcLYtKJmEwG2+8hCLwggmWRr3//JyxePogHeRAoDcEfauQilAluPrB9FF5Kwt8681GMHDlxdVjxiqmxbn/V5/WGT15krU6E9YVlWUmrJW0wINmIlYBnpXboy0vgwE+gLi1F6N9aCu+moMqBGldqrU6qldmEKxMycGENNMyG9s3g41nwlUGsOTqkRNKaW0bEGiGLnEB3jsHx69mRuL6kLTyfENuKXIq058/S8yX6t/Uwd5De0CbDqdeUmbfIcR3I4diKMhIYwWWsykBTWAC7bgv/ejnvxJ47KecGNMcTEi0qLhT/qqV1AB5nH3c2VWVN1IzJEnaLgCSb2I+5o+RUCM+ACjjq9ue47uHduetfx7K0cSyzp4kJqe+L11VxYT6q1JPOLhlrc/JRQYdgL3znULjnCTE0rSiVSFY2K6nLv18udV0vvC7vo61TfLdywsoYKX7HSB3ZbQ/Cr384wAd3kDllDHy9FC5ukmjUt8vh9STc2yEX2xD5qFauGL7QiKP35LBErzo8sSdYUzShZzTEAXaMrWjSua7kXtuUzZ9s2rzPGk3JAo8kYPp8GUtTm5VIUV1Giu+rQiK8XuoWy4Ze12zE4X2w2asIvlEK93VIzdU4ZH1XjRv66FXGyrGbFhJz0bdS+WMKUpt1w4Thr796Ii4/97X5noYs/GTMUKxIUYYOFVgbGbdfAjt/U+b25SJNjhHPqaICuS/rwbQJMHUizJwKm1b/iy9t+xyOGyP82dU2BjYJ/hLwawBDcayd046q4PBDKzj+LDEGTSTh40WyzakTZDD0acdJHZbnwVV3wl2PIqMSDRx7IJx05KoXrEgELjtDxvU0tQWRNwPfOxz23hX22S3/3HufgOPOlMJ84DPV4RjZzmvvDvZRHhwmhuHKHt2el7dAuSNRnlJHuudSVoRWkSMF11PCEh24pAZ+UidmlD3tBVamZxRkehh+XtW/NY8LiVBampF1pe2KQiDnQp5EhiVHgnRf1sJ7KdipQF7X3J8w2gBhDPyiSmq/3kuJWN2xYGCaANaVIge2icL7KagOw75hEaJLM/CFQrhugojqkUCZu/af32mVMGsU+rUpyppQgbWRUT0GPnoMjj0LXnlLUnfNbRLtKS+RSFJRDCbUyPMjEZgxuRbX9VbpwLOEae2axk/+fD6diSh77+xzzNe3ZvL4EHf+Hu58FP5wM5QUw4wpEsFKZ+DSmyTtN+c9uPkB6SQMhaTY/fr7oKoCjthv1bVvuzk8+hd4aa6Mw9n+c72bih6xn9RznXpRXkQaI3VkE6olqrYhUOFKN2A0ECTFDhQEAmbLiKTicgGMbWPw8GRJKy1Kw8Md4qXlA24wSqbTSqTBAfYrhKsnSvSrv5xfLSLwjeSqcwR7apMM+ZHjoaBLr9WT9XxuBF18p0XkNtycWQUn1kJdEB20wFapVr5xyx/417IlTN1jDz53+OHEylbvdTfYfK1YmhzavVWjWLmoqwvsuIH8TSpKT4ztTwXrALPDDjvYOXPmDPcyNgqshbc/Ei+q4kIROB2d4k/1j6fhif+IbYPrwtjit7jq5K9SUZLAmKioFd+Syca54oHzefi10wm5kpqbVCP1VMVFMPdDOPEcEXU9qWsST6wnXgDjSG1YojswH/WlpurRv/b/PZ7wK3j431K3VRiDyeNk+2f/CA7Zu//bH26e7IRfNshFamFG0mQZoNqFEhf+dwwc3Ydr6ydpuLEN3uiW8THfrZTI0UCSsXB+I1zXCrVBNCNnK+AjETUXmUOZ8CVNmLYSATusFC6qVtfv3mjKSnfjJxkof/1FzP/9gkLr4UYipOJxyqdO5ZCbbyZaWjos67u5DX5aBx3+qvV+OZPYYgeWzITiERJxU5R1wRjzurW21+FsGsHaSDEGttlMbiuz7WawxQy490kRJzttvw2F5Ydg/HvAduNbQ3N7MXc+8wMuuOMnlBZJoXpFKSypFXF2+FdWLKbvietIUXprh9R8fbJMhI/riKibPEBt9r/7maQoF30q3/tWhNWBew7M9oebfYtlVMyNrcGA7KykAMe4UqP1rT5eU6dF4P+qB3etYQPnVsOPK2DmfOiwec+uXPbIR6wFQGpyYg6cUwVHlqu4Wh1VITiuHDKJBLed/wvCxYWEohLui5aW0r5kCR899BBbH3PMkK+tKQt/aZE5iVkrf39J8kLLR2xDzqtWcaVsmKjAUlYhHIajD5SbYMBeAd1fhO47uO9fW3H1P47mrfmbE4k4NLXB8gaJEvk+XHEr7P9FEWkhVzr7CoIUj+9LPdZeu4gT+4Il0tnoOnJ/U6s8p7tbPLn6Q1UF3HWpRNKaWqWebOoGNBHTGPh+BRxZCoszUodljIitgmEubl4dY8Pw7DTYa7HMVMwReMR+dvH1EPPTbQv6V2S/Nual4I4Oid5VuHB4CXy5OD/vcLTQumgRmaxHnROlPiHipdSB6mgBS158cVgE1ptJEVWtntQGwooWIQY4olQaBxRlQ2SUnUaUYcNEoPBIPu54mDOuuZAPlm5BMu2QSou3lQ0+oRpHCugvvl46An99EnTGoa4R6pugvhn22hm22wwaW4Jsoy/1V7lsdUccvne23N/vZRup3dpntw1LXPWkxIUtYzAlIjVTI1Vc5diuAN6ZDseVwjgXxrtQYkQQFBgoAGJGiqNvXdl/YgB5qAMOWgK/a4R/xuHudjhuORy3TMxQRxOh8goWdWdZmvSJ+yJel2Thw84U/yyaQPsQNwnMS8HlzfBOSmr7cv5cOXKmqLe3wwFLxIRWUTY0RvipWBlJLFkOh5wCy+pFNHm+iKFcIXmiW24dcbjlAWhqgf2+AH/7A3z3MEkb/umXcPHpUq9lDMSCyJZBIllOEMl68F/wi8vE0V0Z3djAAysTCOjrW2CrRXBvJzR4Mj4njXTjFTkymDpkRGQtXFt//3rS6UlN2KKMpK1SyBrafHioU0TXaMC34pR+d8EEluz0JSLN9WR8HweIdSewFl7Z53D+1DJ0a1qekdE3zyXkuEJeUPUkV3/3dkpq8xRlQ0NThEqfsBaOPVPqpazNG5Ea8rMBnaCGynEkOvX7G+GSn0l91klHrri96jHy3PrmvLDyglE8uXqbOx+V/d1ykXh4KaOPt5Li3TU/EEoh4LVk/v8hpDA/aSFq8x2R4WCY8mAZZb6TEgPM3sZLpBALjJ9VSXRwpLIkIwXkyzIiUhtPvZDNpt/GDnf9BRyHbGExL552IZGZm/NoHM6qGtx0a46z6sVgttCBdDDfsrdWKie431p4uBNO76cliKKMNFRgKX3i7Y/grQ9E6Diu2Dn0LDx2HKgslcc8TyJT/3pVRu1U9NLJFo3A6cfDqRdCKrjK5YRaQVRqtyrLYNEyePolOGivwX+PysCyKA0/qpVIRbkDr3dLuigXyQgmGn1Glw+eEd+uca6YZB43SA7pLVmJnq2OLgtPxuHw4XM4WCNL0vCd5dKdNy44ize5Id485Dss3fsQSjpbiY+bTJcbpiIrHmnXt8I3yqByEEWjtfCvhHS0OohQtjY/GSBHz5q7nBefomxoqMBS+sTr74EbkpNlYUxOiMngCmmsWC34yBgb68OsaWLxUN/cu8ACOPYgcYv/zq/ElNQJZhdGwpImrK6ULsA33leBNRq5t0OiUWNC4oNlzYpzDXPX1FwkY5OwuM9HHTHL/EHl4PhNNWTh0pZVU1Y9sYiZ6OEDv/s+kfKlLuzdwNB004gUipcYeKATnu4SawYXsbWYEpbC/KQHbSUV+OUVJHyJDHZ7EAWuaJbX3jpRnOj7S4sHT3TCB0kYExZ7kMUZmRiQ8zQrMPnUcE8c8pMHXLTQXdkwUYGl9ImSIqgqz6f0CmISpepKwBabQl2zRK6iUZhYI0KpvUP+vzqMgUP2kW7D750diDhHittnT5NoWUdcvLWU0ceCtNRRgRRd93ay6dmyn3NxDxvYLAqb9mJy2pSVlFON27t1w7NxuKVdtndMGXy5aNXn3dch0bJyB1pXo7IsMGEQ5u94VtKlYSNO+b29h4c64NS6fITNILVW40MisroszIzINsJGUp2FDmwTg7ndEtWKe5LqzL09H5iXERuMm9vgjH6m4z5MwZFLxX8t0SMqGUWOXQbIeFBqoMhA3MrXCNBm8z/3Ygd2KYCjh3iWo6IMBSqwlD7xpZ1hbEUQlWqSOYBZD8ZVwW2XwEnnQldS0nqptMwC/N7hfXNNnzkNnr4BjjgNPvoEpoyXAdFtHSLiDthzkN+cMihsG5N5iWVIZCpBvrAZVrRkcIAaBwpcMRi9qkUK3o8Mop+1Gfhto7jBG2Qw8G/HihDL8cPlK3Yd3t8hkZEbJqwoZN5JSWRlUghaV1NEH0LE2UDyRjf8qkEiPxaJzl1cveKQ41e74cwGGS1T7Mhw7i4rwqXFF6EFMhYnJ7xCSM1TjQuTI/CbMWIee3qjHNfcSd4PtvGPjv4JLGvhf+thQSbwtyL/s0wBMSRF6CFrjzkyM/GByTA7Cg90wKOd8viXi2WIdrG2WykbIPprvZEw90OZ+ffm+yumafpKVQX84Rcwvgo2nSIiaJet4eGrYfYmcNOFsOeO0kVYXiL2DD88cu3bzREOw00XwP57SN1WQ7OIt6t+A+PGrvt6leHnsFKJEtVlYWxIojcrB2wc5L4oEA1qgyJG6oRuapPf1aQPJ9dJwXyNK6mopRn4Ya0MjgZ4LQG3tYtwKnbkFjVwT4cMiu7JjDB0WxgfhpVni+dqg/YrGtj0ZFNWZkEmfDkWWQtPx2GnhXBOgxwjgDvaZG25mqTc6KIMcvw85H21+5JSzSIpuLgn0aQtI/BSUlKguT9z2+PmAwuD0TXr/V48mJuU7fU0Ds3tKxWscVJIDERPrYQnp8IWweDww8vgpklw6yQ4tnxkNxIoSn/QUTkbOHWNYq0w92OplQqHYMet4JwfwXOvScrv89tLlKho5atNL6TT8P4CiWRtvomM2BloOuJSRD+2Uh28RzvLMnBtK/y3W6ItC1KwLIjgRIzcUr583Tom9UYAWR/eTsPUsER8WrKwVUxSYTlqs3DWGDisDH5eB1e1ipN9T+I+fL8cLu8xs3JpBr71aSA6fHgjJULGRVJuOxfAvZPEJX2guLsdLm0Wr693kmIHETISXZoYlnThXZPgB7WS5qsLZky2eXlxVIDUp+U8pXYpkPf3Zrc0BkwMSX1ZWUgiSPMyn805/wwLlABfLIabJ0h93LrS5sHs+WIgmlnNc2LA7oWyrienrvs+FGW0oKNyNlKshcNOhTnv5oVKJgsvzBHRtekUKSh/6S34+1Nww/lrT+lFImLcOZiUFstNGf1MDMuInBwXN0rx+5ignihq4KOUiKie5VBzU1In9SmSLktaeDUBuxaKyMhRH0RiwmbV6FiO6EoPTA7DX8fDZc3iwbRDDDaLwecisFuhzGEciK42zwYROiNipNuX+qu4L/dng+HaISQq9Egn7BKD9wMbC9/Ke0348t7CBjaLyLGJGOgMthcysEVUvk8h0bCefz49P0IbYPOYiNM7OuAnlauuuzkr/mAzI2L2ujLlLmwdgWe6V30sh2PkZ/rjXravKBsLmiIcAbzwOnz5uzB9H9j72/DvV/u3vaYW+O2fYbej4OW5+ZSgE4xSSWdlBmB5icwPHF8NC5bCg8/0952sGd8Xq4en/guLlw3uvpSRyZeCovMwEs2JGpgQfMxL+dCWhVcSIpySVgq2Y4gwSCCdfRCY2yJRLxA7BxdI91BpmUDIfLti1XVsGYObJsJL0+H56XD9BPFh2qWw/+Lq5QTstgjGfARjP4Ijlkj3X2PO540Vb01ZEUxvJ6XYe0JYxh2lbL7mKgRUhyUlt20MTqmEbaNS21bqwPtpqYnqssFxs3KMcxjkWExwYawrr3mua8V1N2Tg0MUwfR7s+QlMnQc/Wi5CcGWumbDi9lcmauCrJXCMFq8rGzEawRomfB+6ukVMHX2GnHjDLrzyDhx4Mtx6ERy6z7pvd+6HcMCPoKVNitBzJ2jsimra8/O+UyBdf8/NgWMO6s+7Wj1NrXDKBTJ70BhZ14F7wq9+IOnG0Yq18P58ePUd6azcc0cxUE2mJBrouvCf9+D9pbDTVIn+bcxpz50K4IBieDSej6y4wGU18J8E3N2R90xKI6nCCkdEVsJKpKfVkzql7WKSJgMpdv/lWLiwUSJEIL/vv6yCzddgVhoZ4J/F+0n4+lIRhmHE9+vvcXgsLvVSBknx5VJ3MaAbEZebRMQ+4faJchxe6JIU2z5FMC0s0arxIRGpJa4Usj8cFzEVMyIoIT9Au9IVi4ZOoMrAplEZBG6C51a64k321xZ4NiGF8snchzEgYqXjsNKF81fq5N0kKj+zXzaIqHORm0WGO/+xBo7qRdgqysaECqwhxvPg57+HWx+Si3AqLZGl8hLASLFvohvO/MO6CyzfFxHT1iH1VOmM3HKP2R4KK+TmBzCDPK9qEE+IF/xVxFVNlQi/bBb+8TRsNWv9hORIwFr43fVw3z9FrHYn4fv1cqwdB6qroGU2tO8NGHDnwI53wFO/6lu924aIMXDOWDigBF5MSKfgPkVSa3VFiwiemJFut1xRdqcvaSnry0W8woGTykRUndMgwmDHAvheuXQN/q0DsNKBOH0QfLTWxOUtUoBeZERk+chJNlcMnhNWHiLAIsF7LHTg4BLZxtiQRKhOWSm9tvdK+5oYkn3kPp/kBFzuuHnBbNCYDzUREUom8KVKWCn2P3F5MC7IlzXm8IM1u8DN7eJq7wClPT4MnVQp27mqJd8ZWROCC8bCN0eoQauiDCUqsIaYH50Htz0E0bAYdnZ1Ax40tQX3FYjwWVqXv1D3lYVLxfk8k4VMfNVhyZlsfrxNdY+Tdyotwu/wfQfiHa5Keye8+KYYjn60SMboWCsF8tfdO3oF1px3RVyNrYTuFMz7BBIpuRCVlcJCD3gPTBGEtgZbAi/vCD++Bm46bZgXP4wYAzsUyC1HY0ZMKguNPJ4boWOCrykrHYLTI3DnJJjTLS7xDiLI3k3JuJWbJ0gt1b0dcHo97FsER5X1Xks0GLybElHikbefgLyhpo8Uq2NEnMSBXaKSchu/Dr5bXb5YV4x1oNGX45PDJZ9+nOhCJCSRvjeSgRgzcFI5/C2wtPARcdYbHlI4v9cnEk3bOirCb3lWfi7HlsGJFXnPs5nRgY8KKspoRQXWENLZBfc+EYyCCUmkKofvizFfR1xSTQXRdU8lfbxYxEsmGP7l21WfU1wAe+4sAuvtj8TY03HhzO/D/2zRr7e3WjLB2fu9+RJdi0Qg5EAmA6+8LUOkp0wYnH0PJv96RX5Grguf1kEqEwhiCxkHaddKAm8CW4GTAr8Y/t4GNw3rytcTrx68BeDUgLvJgOY6XafH6BSkZqm1hyGlY6EyBIeWwGOdcF6TRH3GBmewEqS4+3vLYbknr3cNXN8Gz3aJe3lsCCpOt4hKLVXPzzY9uwCzRiJLISR6VenAXRNhYh8jbdbCZW8v5sYWn2w6Q6KgmOLiEkpKSmgPug5doCIkEaoOC3sWwqXjpKOz2ZN0Y9yXY0Pgrr8m1waLjC5yjNSX/b1TTGCd4MPaqZVqFKoovaECawipbZRUXFGBpDuSqfxFBeQ+z4rw+u7h6379uuNhiYp1xGU7PcnN+yqIwS0XSjRpyXJo64QZUwZ3mHJJIbR2Qm2DCJBUWgRmOAQFYfj6qSIoy0tg0jg54c+aDkfvLynFkUoolP/ZJbqDwmsTXFBzBSku2AT4KSAMNgOp0TYWxPrQdSl034dvDX66G8I7EBp7BTglA7KLSlcK1t9KQhEijiJWuuJcRJh0WbilFWKupLXCQXfe7Kj8HUUMvNgNuxbI60FSkAsz8EwX7D8wS10jPx8j42i6/BW9p3LrAyh0pTMwErynI5bBpdWwWx+MTa/8z1wu9qvwXYdwNIzb1Ul3JkvE95hYUU63L3Vf1oNXPJgRgf8dI6+dGJYbyPFxDMSC31mzBreeKa4I4KyF2qCu0zWSDkxbSe3uXCj7UhQljwqsIWRclTiTpzNBYXcQ/cgGHx9zReehEJx90rptO5kSF/RtN4M570m0rCcVpXkB8OEi2HVbiRpN6e+b6gN3PQZeNi8YrZVjYBAxCBLBa27LHwPHgfOuhsvOgBMOG4JFrgf77gZ3PyoRupJiKeT3grRu1EJnLr9VBJ4DxhfhZT6RZoRtNhvmN9BXkg9B9910NlhaFy0G36egYgHxV+Yx6cv/JFwwMOr8tgnw5cXSQZizMCg1Yp3gGHi5S47pThFYEnQiNnpQlJFapPqsXPw7fKjokRIMAW8mYd9icRF/sFNSYgcUw+Glq0a26rNwTYvM+tu1EI4vkzE+fWFWFB6aLMao7yVlPyVBXVlnkObs9uX7FDA1JJ2P36+FS2pgr6IVvb560p7Oco4zgURRIQaHTFgUjZtJkTKGzVxodmH7wIA0hPht3da+qnN7kQMHlcC97VKUnrSrfigDOcYzgk7NtsBKwzHSZAAiEn2kI1EFlqKsiNo0DCGlxXDsgZJKygRDkXPiqqRIus8KC6CsGG64f922HQ5J9CocEvEUDgXpK0dqMEIhETHFhVJvNZTc+yRMHieF3QUxuZUU5mvCfF/qtHp2Nebu++Xl8PEnQ7vevrLVLHGrb2nPH2MLRCOQTYHbiORedgeiYMvBtMOsRjj36vVz1B8Wkn8j2eHTMn8RjuPiRqKkuwopKn2Dl/940SpP7/Lg8mY4pRauaZUOub5Q6sLFNWIMukuBpLj2KBKfpzZPBJcNXMurQ8GsPV/m4jVn8z5YbyehsUdRkYe4iv+yHi5qEqPRuiz8oRlOq1sxlf58F3xuPlzSLJ18P62DbRbK9vvKroXwxibQNhsenAzfKoM9i2GLiER+POS9lDlSED8/I2LuzHo4dKl0B65M1sIP58fpihVC1iMdDmOsj7E+XiiMB7yWlKHPha4cy0JXUqgPdPZutXB6JRxRJu74410Rf7nC+0JgpyjMCvf+KXxlQ9fexJmibOxoBGuIufQMKC+V4u7ulFwgigqlq6+zSy4gjoHLb4Nv7Aezp/dtu64LR35VhFnNGJg2Sbr2rIVIFFIpGUdTVQHbDbJR6MokuiVyN2U8LKkV8QciqApikEyL6FwZi9hNPPECzJo2lCvuOyccBvt9Ad54XyJwT/0X/v2adEnutBnMj8GnleClIfoeTF8AE0qliaG+aZSMAbKddNY1YRyHhZGZ3F58LO9FtmSiWcaUDx9j3OOPM2X33YmWlvJBCvb+RIRDrp7qkiZ4YVo+PdUbz3XJDL5MUHfVFAiaMEkme8+wu32FrcPjeSRzAK+mJn/mwZQz6gwZmBGCBl/E2MK0eEm1+hIRmhGFK1skpfV+SqIuVa6M0ZmTFPsIa+GE5VIwnpuNZ60U359VD9dOXLfDVuDCFwrlvdRm4YcVcH0rvNIN40JSB7UgI53DxogY6vBk5uLNK+3rhlZ4yi8i2tVCd2lZsDYbpKQdCrwMKVtAyko9Wg4Xec+9adyoA2dVSdF6uycpv7gvBezVrlg6/KIenk6IGIwEHYiljnwyf7NbxHPMgR1j63Zs1geLJU0aH5/FfEIjDVRQyQxmEmMIFqAo64gKrCHGdeGck+WWTsPnDhIR0RGXCEhxAWAkynTyefDIX0Sc9IXvHwHtcXjgGUkJjq2QLsWQI9Gz6kq44KfrbxHQ3ikiYkJ139cEsM+u8I9nYNoEqT9bVi9Gp6XFMHsavPnh6l/rBbVqI5kJ1XIDOP6QFR874Vfw6sOwvEEiJZ8Cy42I4HU5hsNKZG/c0It8EpnJ/1ZeTtaEKLYdfJCaxZNf/wLL772Rvc87jz1+8xu+M/urtPsrCpS6LJxcCw+sJh8d92UIcqGRqAtAsYH3k11815zI+NBHZGwYY7IcE72N0xKX85q302evt8CsiIy2qfDFjLTVl9qrrWNw9lj4MCmRq64gFWaRNFcYmau3U4F0wtVmxWIhhwlqwR5fKeXeF15OwOFLZS0gYme7mBybIkfEVa5bMmZk8pUOCgAAIABJREFUv0WurL8pmx/Vk7Xiul4cCeNjSfpWavxkhWBgesTQ4EpKsGc2sMWD7WNr7uzLzW4EscMo75FevaAGtuuQwdkZC98vgwfjIkxzQauQB0cuh5enSXH9YLCEJfyHF2ijlRaa8QPJaHAopoiD+TqbsMmA7KvTE2uKRztFuH+9RDpRh6JJQtmwUIE1jEQi8N2vw3X3iaCKxSTyEe+S1N5r70oq6bxTJJVojKSfVsfcj2DxcokKTRkPfzpLUoIvvy3pwz13gvHrETFJpeH3N8LDz0p0LRSCk78F3/xa3wrxT/yGdAvWNorAHFcl6dDD94Vr7pH6rNXhurLu0co+u8LfHpefbTQofE+kRFCPGoPVwuPBuYH7K4/Ac13K/Hay1qVuSTWpbAkP7Hc60xe20H3hRbxzzVco7OEtYox0zz2XWP3m3+iWi3fPuqlSF46N3s94PmSZN54kMSKkKXU6OKfgXA6MP4wNKhx8JC24fQF8kJKITchKZGhGGGZHZB/t/orWCZmgzmtJkJJb08lwXa+t1sJRy/KeWCboHnwtCQcW572n0hYKHDFDNabH1IUef1dJK3Vbk0LwTlU1xc31dBRXfPaCscZnTFkJblB7VpvNR5uKHSm8X1/CRlKc3wp8rVI+3P6xHNuwIwLVQcTruY0rznwcKBpo4HEexcWhg3bSrJhDbSXN7dxCCSWUUc5mbM4O7EiEdS8Ky1g4qRY+TIvfWsbCn1ul+eKKcRu3SbCy7qjAWk+a20QwTKyWjrxMULi+Lr5VAKccDU/8R9JFyVQ+4lRUKMLmzkfg2VfytVqbTILdtoHtt4Rdt5G0H8CLb8BPL5ZaoOJCmLcYfnIhXHsufLefReJ/ul1MQWvGyIm/KymCa9zYvomfsZVw5+/hqZfEqmHTybDf5yVV2p2Ec66SeqzebCV23lqGU49WXBcqy6AzAX5gxlheLMfkv2/CVz4vP3drRRivTK4xYVhxKolOeZhX5y7Bi1mWJibS3FJCOhvBRl38QocH7fF8P/Ma1vNW+SPIpQrXlV3cp3gqvQ/3Zo+g3ZZRRJyvhJ5gc/dDymmllTGfbT+JDFEGOV4zIzKC5/E4fLFInpMlmA3YY10WSYkBTIuK4emSTD6KZa2IoEPWsQPxlW4plo+QLzh3DbhWImWPTIUrm+G+Ttg0JB+oQJzqt41JV2WOIgOTQ2KxMCPqsKBqPGHrkbGGqDFMiBo6fPjtWElJPhaXYzEjAgeWDOzQ6le7RfAVOyv+XoatuPNfPnC7+oy5vAlYOuggQe9KPUuWOHGKKGYub9JAPQdzKGYdf/OejsOr3f/P3nmHx1FeXfz3zlb1aknu3WAbDJheQ++d0EtIQg0kBFL4AgFCIPSSEFpI6BAIvfdQDKabYsC94CrL6nXrzHx/nFnvSpbkJmxD9vjZR/Lu7OzM7GrnzLnnnusyLG8Wo4o+IehrpT1eyWdNO/B+ZAA7/48GBGexdsgSrDVEIiFy8eybOo90RKQOxRNSKY7aB35x/OqXf/Lz4OYL4ZQ/qGzmuFpf6sTa2i4yN3EcTJ+r2xsfwIjBMG4EXHwWNLbAVXfpeakhyeVBlR5v+zfc9ee1399oDJ5+XSRh5rewxDMFB/xw5T9WX13Kz1OgaNdQ0f12gUdf1nZ/MUPKTiogdegAeO62jYBgrAJfzYKX31VZ9rgD1FGYQjyh0uzYkdDeoeHa+bmwrF7hsv93E7z5od7v7SfAhadB/yp4qAkeblZ5aaswHFWgVviSDaR65VUOZ4vRVdw/3cVusDHGwckJYgcDYEFrtIBoooBRbfXMLa4iP4OgRF3Yv5fh3VvnyA/U7qh0BvIivW9vw6vJ/QgQpcQ0EnOC3BU/kzzaaKVz1oWLyn+FlozeA70mj7ClANKtwpqP57jpUE2/Z+qOZxD7hwfCgQvViZjCuDBc3WVUzKrwZVT7HU9tHNo3gzxeVX64rELLTPLIt8/zYV3WRWU2RlELF9RomyeEoS7pwwUOK9T+7pevUTugBPvjvqMk9QKr8/DoFBxkkv8u0EgjUWK00trrcgkSRIlSQgnLWMYyqunPygF7Dba6SadEYXhAnaTDgvLm/boG8nK+ZkTJO7Q7IVoSOQT9y9mk/FlOqzmSHYOV3FDVmQBnkUVPyBKsVaBrmvq9Tyu9u8ob+TJzvgzao4foxPnw81BTD9f+ZvVfY6txcOgeKhUadFJ2HSjMk/IRDMCchXq9/DwpW6GAFKG3P4UB5TB1NvQvh1FDlW+1rF5XxTX1yp+q6rd2RKUjou2ZMQ0am9P3J5Lw3w90PH56xJqvN4VNR+hY1jWKYDS3imhGY/DANVIHN1bYNpx6sQgoLrgGLroZ7r8GDtxNy+wwQZ8fnw9KvTDGhBdR8djLsGS5MsAcV6Xc0y+F3f4MT3ToSzzmwKPNGv8yIgBHF8LvyjdMWvbh5Tn8Kw9cx8WNJTA+IBesT5K0B/IJ2jHuzG/iGF8VjXZauRrohzuqel5vngVX94PfLYcm79hEXXgqeRxVZiEGGxdD3ISIuUGSFJPsZtTwQJ+CPruqyAb5kHKMgjdTSLgiXbtkqBJb5cDc0XB/k5SsHb3ZiWuiTEcdeKhZapkXhSYC6IggHeyRzaCBGyrluZrpmfJ3zO3+vd05D+4eAPc3q8tw73w4pQiGrudohC1z9H4uzfCqRWzNU/ShTs1NQrB5SKS2Ly6OqujPbGat8F31hggRStGYiiaaViJYy5PwkyWK98gx8EkEnmrV7MQLaqAxabNFwVRmtG6Cg5+yYC0OFjm+dgYXTOE/yw/kjTY1POztdbhmkUVPyBKsHvD6ZPjDzUpH9/tkxs7LkS+quFBqRSo4NOiHpbUwuL+IzFsfKdl7UC8nlUwYA1f8SmTq8VdEoqrKRDZa2uXdaO/IUMVcmabbOnRyLitWWXFRtbr0bEcnFceV+rXFEbDTVnDJ2Z3T2h1HN38vn4KSIs0za2ru/vGz/qSS1xH7rN6+doVlwU0XwrlXKoUeRCh/dfLGXxq87xl46jWV9nw+iIeh2YKjr4YHRsNhVTB6GJxymGZPZvprDt4dnnxNBDjmWUqMgYYEzF8OI4pVElqYlAqTcHTifqpFKsKv1sFXs7bo54dBcVgcMbjFfogmCb/ZhPOBj/wBdWy79X7suNkmzHbh3iYNJ54QghOL5NfpiqgDT7TAy606YbfYUndyLTizGC6q7UfIjVBpLQQMba6SONtYWQ4ziJA2OpCPvEMgonZwgU74+ZbmGqbgRwGbI7qQlFwLzu4yB3BN8GlUqtgmQRGn1IxAB422+UOGQmUMbBbWbVXYLAzXbwTNco8NgoMXKeQ16nUoWsA3cZjRoGaF4QGRxRsqpU6uC7ZgS97mTdxutbPOSJLAxcUARax8dXZvk8hV/4zvvCYbjl0s8hUwCd6u3YukqwUMLmMLv2Jo3rce2YIltpoXJubA+aVwxPctODiL9YYsweoG73wCp16klHOfT515H07VY34/uM3w/hciJ0kbOqI6ac5bpDJdUyu8+A787Mi0R2pV8PngojM0viYWlwk8EpNSNKgSljd40rwnCzS1qUznuprz1x7p7GFK/WpZUN8Mi2vgV3+BR28UOfz7Q/Dc2zLV7zIRLjhVBLErjJFh/tOvu9/ueEJeLxflb62NiX7kEJUCP5sm0jhhE3mU1hYz5sFrk6WC/Whb2G6CFLK/PwxTvlFy/dnHST3rCY4Dj70CDzyrUt5Wm8KvT1GpL4V7n0qrU+3FEMsBXIi2wO8mwSe7w9UVcO6JsMf28M7H+vzssT1Mmws33e91qXkneNubL1ceAX8JLE7qD9RC5aMOV8GUj7fAL0rX/9XzkAD0GwH5b8HSe5pwGlqJB3IpyZ/PoeZeJpz8B4wx5BhtX29IunDuMgWAxmz41suxGhCQknN/CxT7DHOTQ1lo9yfPc9gkCNKdo6vMEjH6Oi5lyodiB44vUnjn4qQ37BgRA4OIaz8fvN0O+/RSwlxTpHK/hgc1A3F+XIQrbOC8ss4Dk7+P2DIH5o6EPRdKASpEClYSfR8lkAr3fofUoePXUYUuoohhDGcOs1e5rItLG21UUEEVK3+hvdsBxV0IX8JVuK0P6HBDBAG/SRL2RcDAl01bM6t1LK2JwhUDsaMufBuDP9cqzmK31Ujhz+J/D1mC1Q1uvl+kynZEnjKRTEKbd0nq96X9QrarE7vxuuzu/I+8Uv/4U7o05Loynzc2w+ih6ftT6N8P/vVnZWB99KXCOMeP1HbE4vJaGSPFqqEpHe7X2u5J8V0u8HxWOik+GtUyz/wXvp4jwtSvVMtM/gKmXQqP3ywvVE2dCNubHypeYfo8EUjX7d5/saQGTvq9ypP77gR/OkfHzZjVJ0qBAGy/xeot2xsefRFuvB/wPGyPvQrbbSbPXJNn4Xj7Y3jkRfjnFXDYnt2v567H4K7H03EXU2fBaZfCQ9fC8EFaJu5ld9l+kSvLa0RwHCi0NZ7lq5g8M5uN1i2Fr2aKPOdnhKD7DJgm3Z90pVqluslsz1gcQPECMXf9E6xyv7w9Tw6aRuTgamKt+fiCUSKbVvFC8gwq//oPLrr2T5jVqAu92w6vtWpkTKsrM3iOJWP4IL9UqHm2SEncDdJIzx8kg6Ie5ieUx9Tq6P8usH+ejmu7o3Lg5mGRHdsjPE2Obn2FuPfeNDkQsEXqSnN08bPcVlnph4Bvk4qSyLWkFrbZ6WHWSeRhK/crNX9dCRbAbvyI+czD7nVqIvjxM47xbM8OWN30fpb4YIHtDdz2UO9tuw9IYmhKlOG6LvaK06NLwERJuGmp08Flia3RQWcuNbw8VD6uLLLIRJZgdYO5i0RqEt2EX0JaScpMHrc8A60FhIMqD85fArc9otJcQxP85jp10fl88jYNHwQDK2GHLeTBKipQSem2S9Im9+ZWuO9pePYtEbhQUCf9SNQbL9Os1+1ullinLp+AFK8vZ4gs9M/wZFWWwbJauPqfCvVcVidC57gwbKC2tbsOv8zjEUuoPPniO/DqZB0DDGw+Gi4/N62O1dRBbaMysfL7+GRT1wg3PyBDftBTDm1b5Tnb87SBCExzG5x5mbZvxODO62nv0HMqStMKZHmJynkPvwB/9MYYHb43fH0nxDP+ipyk3t9+Y6HeVXzAhG7KOpXlItCRWDp1P55QOOWW9VAzQN6kRlufLZ9RV1yzo+6w3A3k/fh1GXw95W1GvfAUBbXVGAOxsgq+POV8Hpm4H6fPnkPFmNG9rmNJHI5cBE0Zn6k4IpQhI3JUZEkJmRhSma3B6T4sE5Q6HkHkJmQg7Id+6Njd16xS1bCACFyHFzyaGnIccWDPPuoMW5SAs6tVarJdqXNFlt43jAZVb7kRlPj6AsuSXtm3G77joPcB1q57tDsMZRj96c8SlnRbKjQYCijgJ/yMfvQso59Y6GWuecTQ8T4DxZaIMQ7YrsHtdGo0NCbL8a/YWdfbBhcHmJ90OHWpxeODfCuGj2eRBWQJVrcYM0wlnN5IheVl2+SG0wpTCqlROP1K4KVJOiH/6TYpR5VlUrAWLJVxfcRgqVVPvAr3XZU2dafIT1EBnHeKbrYt5ammXob6C29S6RC6V5ZcV8/xe9lTtY0idF/NXtl8WtsAf73fi5ow0BaRt+yb2Rrfk5+r8l1vx6OlFSIRkZJdJkrJmzYXzrocHrwGrv6XymQ+n7Ztn51gi02UOF9dp9LgYXtKoVsbfD7dS67PKMvGk3o//N7FbGu7F4uAjuPOJ8FD18BeO6afs7xB5LVreTcvR12cKZx3EjzzBkxdpFmDji2/2ugfQ7gMfMnOoY2Z2HyMuiTbO1SCdByVgoMBuHAgLC2DuxqhISLValhAqoDPwO/LNlxnZbKjncL/3EsinsAuKgEg3NTAtndcwWuX3sbCjjgVvTzfdeGnS6HZ+8BmCq8xlF8V9BSnIgtmxUW+Cow3xBgIe8u6SPnK92nOYwIdoyLvmIc9E/M+30KdozJija2Tq9+IkI0PifQ02OvWGea6cMlyqTqVft0G+RV2ulUIziqT0X5j74hdXQwP6n0IGxETqT9CAJXN6mw4s6RvXs9g2IqtiRIjQZwOOrCxV5CtflRwFEf3Sq5A3ZYLk/Ji4YofHpAPn0bkGbRwcbpNPTPYK9oW5M3yATaGgJVgsRPlmdYSTi/5gbzBWfQJsgSrG/z2p/DC2xrC2hMsCwoLRGDiHvEw3hVRNKbyYDikGYP/+A+89r5UG1CZ0O/XOlraYcIYeaT+8zKcdVzPr+nzdS6j7TJRBCjiJZ13rRLaDgR88g0tb4Ch/RWT8NKkzvlK0ZjIhjHK34rHVTpMJNPry80RibIsldr8GUOq/T4RC8uFpKMvWMdNlwhr6uCCa9MEsz2iaIMvZ2qDLUtkY/Jn8OhLIpoDejtLI7/bn24T4RxYCb85VSRwpffJeFfRRiQ4daxSaGlVJ+Dsl9NNBBWl2qZEMj3WB0SGMn1bebnw7oNw7wtw6QwwQRi9PRQPlXE234If9aCOFBXA738O1/xT6p7fJwVr161h1y31+TixSErBYy3wRQRGBlWiG7kBSxEL332XcCJGW0EJAVd/IIn8QkKNdfSbMZWBB5zY6/MXJ+GLWGdlI/Nza6MTtY2UpSfbFGoJOqHHvccKLRjml/E+YBTgGXXkp0lhTlwjYBYZ3b/ASKk4IE+f7/4+eL0djl+i5XfKVep7V6I1L66gVNuREf+ldqlsO+fKDD8qqPdpWkwjZlIo8MFQAEtRFD8kDAnAAQWac1ifhKR3jC3UZdjkwK55cFQfGsDHMo6v+JIkISqoJEGcVtoYyUgO5tDVWocxcEYJHFuoEUj9fNA/oE7d05aCzzU9KKUuYK34rBoMjmemL/FHcE2cL2IRpKdmkYWQJVjdYMct4Yyj4V9PaE5eV4QCsPkmsLxexMjxuvYyh/fajohENAa/vV6Eo7ZBIZuJpIzNritPF8j79M4nvROsrrAsDVGevSAdmphCeTGccJAIXFsH7Lk9HH+QOiB33UY+pNIikbZvl+hnKuww1ZKeWl9KyTNG3rHaBuVVtXq5XZbldSP6pBgZo2OUQsKWz2u0Nyrlm9laPu6VIf0+mLdYXYONzUp3v/zc7vfZtuGRl9S9mEhK8VlYDcdcoE7MgjxtWyoPzHG90NZY2k+XSsz2+6RKNTbLb3bgj/R4Xi6cdIje/5IilTsbW0S2Tjy48/aEQnDWUbBXTLP0Fifktanyy+Be0IsqctS+MHYEvPCOlLU9txfByuzqrPLDr9bB8N/XiDY1UR70Ue/348SiK4iSbQwTTJT++b0ziaiTTkX3I7KU+bkt80npOaME/lavEM55CSlWPqSY+FHZbWAgfZEwzK8utjgq+TQ56hYzrkh22FLZbrmt9d3SH45ZrHVW+LQNkzvggmVw74D0eh9t1lDopAsL4tDoivAFLcU4fNQBjwzuOendojPp+yHh0n7qlHysRRcUO+ZoSHcCRTVMCPWtYpdPPodxBJN5jyUsIYCf7diebVnzUQ9FPpiQ8bd5XJHy0j7sgPlJAMfr/LQwnk7mAwwOCY9mWbiErAQl/gjNdpAhoQ6yBCuLTGQJVg+46nxoaFH5bsFSj0QZKC+FOy/VCfcPNyuvCrov0aW+XHzSkrFtlQUdjw0lbZURQWSjfA3l9P12Vmkx1xtUm0iK7OQEpQjttSMc2o2J++rz4cFn4fHXRAB331ZdkUtqtB6fpVtqPE/A0vYFAyJoLrD79lLc4nEtF/RrP1Ndj6kzr+NoX8MBT/1qEeGKRNMqlzEqqX41S4b0dz/tfn9jcTj/GmWNRaJaXywuUpVMwnV3w7O3Krxzeb2e4/fD3y+Cvz2kLkVI72NRgZQ36JzxBXDWsYqfeOA5KXBbjVUXYVe/VgqjQ/DEIBmtXZRZtTonl3GjdPu+oGKzzSgM+BmRF2RBIICTTILrkhcOcVpPHQMZGB4UGar1crL8pFPWwwZeGwbjPMmqzK/cKp+BkKtl4q5IVNDAUlulQxuwDZxWIhK1MAFbhGFOTJ+RVDOAz2iu4OQIvNCidVV534AGqPRJhZoVF0GoTsDN9TJG1ydV1kyVwnJdaAe+TcC/m1W2HRpQ3ESpT9uxICFSNisOE+bCNmE4tVhp6z+EUmHAwEnFuq0vlFHOoRyOjY2FtcZJ7b3hsn5wZjUsTRpiWLi4+DzflYuPwX5DyBdhSdIh5gTJteJUBZtps4OErDjHFKzHA5HF9wJZgtUDCvLg/qvgwy9h1rdSgrbYRMGRv79RXWjRuHw6iWRavTJ4io6n7BiklAR8ui8WV3ZVW4dKjP37qTQUi8NxB67ZNu65PWw5Ft54X+pKwCs7jh+l9ZX20L0TCsJpR+sGWvbgs2X8rqlLl/5S+xNNqNQ3uFJG8h/vC384QyWzL2aIrHREtR+hkIhkc6tOIm0dmsc3Y56OoeOIDKUaBFzXI5xeCa++WaXMrmhoEkl680ORQsvSzXW1HYX5es38XHjpTpUf4wm9Z/l5OrY//6PUr9ywN9PRI3Y+S9EJmbAsOOEQ3VZ3XI0xK2cq/dDQb/x4Ru23L+4rr1AWziHqgolFGH/EwYzcbOwqn+83cFMVHLcEliRFjgz6Irq8PE2uAI7Kh9sbRIRSCq33UaHZgSsrNAonz6gUtXde+n36KgJ/bxDRsVB5MceSAduQjsDIhDFatt7We35XoyIWCn3Q5CnNFl6nnJH/q9WFzyNell0F/KJa5cL5cRnqXeQna42LfH0RVaPAKdlz8TrBR99nXYwJwZODNUXhmjpDgw0+4yPfMvyyFC4uh4TxcU/yRd5ormBa60giToDhuUs5uzTOcP+gPt+mLL7fMG5mXWsDY5tttnE//bQH+WIjwUPPwfnXKsDT5xEpp0vRPlUiSyTB8kFeWGRn+CCV87bdTCRhWZ3XQWZpePIJB6/5lW1jM+z9cylDhflSwdo69HpP35LOWFoVZn0LOx4nZS71iQj4tR8H76ESXlG+yownHyJlqLkV/vagPF3L6lTm8lkylfsslbtOOUzG9SnfwHlXi/R8M1ulxK7IDau77rrfwI/3S9//wLNw+yPq7ozFNAvRkB6W7DgixIkkzH+9ZyWwvhF2Oxm+Xerlmbm6/exI+NtFq3nAs8Cxbea+/jqznn8eYwybHHoow/faC2sNplcvTsC/m+DtDhn4LyxfOZXcdaFylszSXb+lLGDqCBjfTVfe1IgGLc+Id25ys4A8YIc8+GUJXF7XOXAy6crs/twgOGuZyFucdEgoyF/oog7PIBrP86sSuNoLFW6x4e5G+FuDll1uqzwJMoOPDkr5eXVI7+XjLDYsXFfdq3U2jA1KTU0hQoSpfMlcZhMkxOZMYDRjuo2FyOKHD2PMFNd1t+n2sSzBWn00tyoVvbZBRCFFrlIRDSkYo7JdxJtT6PPDFmM0q7CmTurP6KEqDza1wvCB6xZZMH0u/PEWJbkDbDIcrvwVDB24+uuYNge2PSZddluh2hg4bA94vJcprh9NhWPOF8mzvDDHmNdFOfNFqVoAcxbA46/CDfdCQ3OaoKY+gn4f/PIkuOF3aR/Y59PgjMvUWThtrrobOyLaRr83XNu2pSTuOhFeu7v3/VxSo1mSb3wgteuMY+CUQ3tPs89iw2HiXPgy1pnkpP7URgXgnWEKJ03hiRb5qKqT6a62TBQCzw2F7XLUzTg7JoUq4bXrn1osf87Z1cpKSo3WSZJWz3yk2/oDBj4YBmMyiN4zLfCXOqhNqqsxM1V+eEAjWu4aoEyuLDY8qhNSLceENswIqiy+3+iNYGVPK2uAl99VSSkQSJf7DJ1N4KlgyJhXxorGobJAxGD2Qhmmr7oLWtuktPz94nXPgxo7Ep74q8bz+HydM65WF1/P1gkkGvP2w/K8MUn5s3rDk69J0csNS41LJkV6FlXDLifB1ReoTDhqqBLjH39V5Kq1Qz9TJCk/F278fedtf+4trTMQUNTEzG+VH2U76SYBY8GWmyilflUYWAl//cOaHZssvjt0OPIqFVvq5uqKnXNgakzkKkVwUrcGG/7RCJd7HaczY3BtHTT0QK4A2oAxQZUL/9lfqfivtWv80LGFsFce7L/QI1IW5LvqGExFPlnoJNzhKovslv6dyRV45nu8INOM+w0qVdpkhwVvDKhPwtGLFeXhoK7fS8rh3A0whiqLHyayBGsNMHO+lJT2asgNpVWsFEIBEZxIFLbYVASqoVmq1YAKkZdgQAGkrqtohEPPgWsugJ8eqXU0eN/IXVPeVwVj0mGeyaSSy596Xdt44G5w7AFS1XrCVuNEHl03rR6lTmSxuPYpp4cr7sXLvGU9ctXSljavL10OF96odPdD9lDZMS9HJvxFy7Qsro7VhE1WJobtESlVABVlnk+sXsd6QD8Z1a86X5laWXy/8Hgz/LVBJzfbVezBn/t1Lp2dUgL3NEEHIjepj4cfRTW8k5HN9lKryFBP5ApE0h5pgQvK9Do/K9Gt0zIZf9MBoyyzhKsE/SMLlM81OKCE8uHdlOAnhlUK/NLrWk24XvgmKjnulisSlsWGxaGLFAabi2dtcNQJPDKoCIosslhXZIvGa4BNh8scPXyQiFU448u1IE8KTDSmkmAkKjJVVa409K9myiM1f4lIRjikOIBoHG59GN7/HE6/BPY7Q7efXQwLl67ddl52K1x5p/xei2s0g++cK9KREN1h9FD5tlJlT9frcrQsKWLNrT0/90fbpkt9kSidQo5KiqC4QPto2/DcmyKqU6alBx0nHZVdRw9ded17bt+5ZDlmGIwbobLqXX+GDx7JkquNCSlf26rwYQdcWy+DepklRfKBJpg4T8b2Zs88tW2OTnZqkdcthJLCy/0iWSm0u3peT+JtqryXXMX2nVAkIrZCmfb2K8fAHf3hjgFwUb/uyRWoW/G2/nBMoeIkHKR2DQwo6PKKtZjXmUXfYmZMBDjPpONpUkOpr6/fcNuVxQ8LWYK1mpj9LSy3q2x1AAAgAElEQVSoFtGIxqT4DBkg70446AVzeqnpOSEZrlPIzVGJsK2DFcGaKRggbsO5V8LU2QrirCyT3+jMP+m1VheuC0/MhTv9MGNP+KYUpi2UAX3KN6su9Z1xjPKzUl2QBXnqwutX0nu6+k+PkELXHpFiluoMDIdEMHNzpOTdcK/m+bV1pE/CjptOvZ/8mboUM7HXDrDzVtqHmnr9dFy45WLYfbusd2pjQXMSLqiGrefBjvPhUi/VvCc80qxSW8iCOQndQLMI72qE05cqMwvkV9o6rOXzvOeMCEj1ypxzNzAgL02M7r/YDFrHMasIvzypGPbJUxmwLTXX0MAtVemU+FWh2AeXVsDXI6F2DHwyAt4aBldXZs3tGwPme/mGVhc27kMNGFn0LRIkmMVMJvMeX/MV0RVjs3/YyJ6eVgPP/hf+8g+RgrxcqK5VqWrEYKkrwwZ68+J8mvXX1tGZkLS0wWajYFFN56v7RFKqVzwmg+3YkenHUgno702BvVdTobmvCa5ogaYhGh1iRoKzJZgHFMb55UzYrVsrnnDaUQo7jcalOkWiuv3yxJXHxmQiGIQ374UzLoV3P9N+5eUqRDMnrHWEgoq2SCRFQv2eJOE6IqSpPKrPpsG+O6fXHQjATReKHE7+THMYD9xN5PZ/GbatgNhQUL6yDZmr9HorHLFYhMQgpafVga+i8OigtDKQiTpbZCfiKNYg5JWUHaRMzU9oWPZBBfIrvT0ULqiBdzu8OYwGjixMkyXXhedaRGzqulGxUp6o35Wteiiv38BTg+HNdoVPFvvg58UwZC0iOCzPlzkweym7UWFbbzJF0u08ND2JyHwWfYcIEZ7lKZpoIvWX+SmfcBhHUEIfzVLaSJElWKtASxtce7cCNkPeF+yACpGfay+Q4vKXf3ihiT6pPrYjRSue0PMdB669EG64D16e5IVkGqkvQwZAXUP3/qaErTl1za0iJmXFMpM7jghY5km1Pgl3NoLVBrR68/6ikBwK4fEQn+KV73rB0IEaU3P3kxpBM2qIvGG9kbJkUllhn3ytzKiTDoVr/iWCVlSgjr+mFjhgVyWWWwYcb7tTvzuuCAOkx9Vkwu/XNvS2HV3R0gqX3CLCN7gS/vwr+eJ+CPjkK7j0Vvn1XFdE9qrzRbTWN5Yk4KjF8ielvkyiLsyNi9C81wF75a/8vF1z4V9NIlkGfZZtVyN2w8bQhjKjDvK8MDk+leaWJNQhOCQAFRnfXjW2sq22CcGshFQIP15mFSpD7pgLB6+mt8YysHe+bln88FDmh5MK4f5m8HkkK+aq+eGybAm3TzGFT2mkiQIK6KCDeuqIk+A+7uYUfkoZP9yugizBWgWmztQQ31DG1atlKY5g0qeKXBgzTKby5lb5kfJz4b5nYP5iZV6dcQxsNhoevhb+/m+49SERoMJ8KWATx8GkKSo1VpSlAzRx4ak34Mb7lJjeFlGmVjikjrzLz4HRw5SA/tJCSFRByBvWnBrf4ySgfRAEPxdhWhVGDIa//Hr1jk3cS1b/6Kv0+JlQUInnr76n1PrKMg27HlABr38gX1pH1Asz9UiV68r4nhPW8VoXRGPw9Bvwsz+qkxOjMNSX3oXbL4XTj1639W9oVNfCr6+WsldR5uX1fAu//Is6Sa31rJTcWq8TU6YBPZV2XmurQ7A7HFsEL7WJiCVdG8dpw+Aw1jcDE4tiWzswOLByV8bAQPcG8RyTnjm5aUj+qEVxWJBUh+LW3kDns6vh1irYfi0nmixJwBvtUO7TTMP1fbyz6Dvc1l/NCHc0Kk5j+zBcUwWbZhWsPsUcZpNDDg00UEftivsbaeRW/saJnMwoRm/ALfzukCVYq0BOuPsxOLjp4cJjR3Yu7wHssvXKTwkGNZT49B/Dx1NhxnyNYpmzUITom7nyeW06HNraFdw5f5E67D6bJjUoGIRtNlN56Kd/hGgUps8HNwCxMijeDYLDlUOVTKWlN4Lf7uwLA6lw/3oC3v5EatOJB8Fhe63+SePFSfDh1M6xEC1t8MRr8MLt+n8qezKZFNlaulyDpzNhOxpL9OiNPXcqrg4WLpVv7d3P0t41y6QHU//6ajj18N7LnT3BdUVu2pPgRKUujhm6+kGufYVX3tV7W1oMuPpMuK48gl/MEFlfn1iY7N5U7qLyS0/luBIfPDgQnm7q4OraxbSRyyhrLgWmlQanmFxnCgfkbI3SqFaNIp+6EN/r0MibkNE8QgtlT/mNXrPJhtsa145gnV8t1S2VKF/mg+eGwJbZE/L3EsbA+eW6ZfHdwU+AKB00sHL3gI3NMzzFb/h9n4492liQJVirwBabqLuusUX+H5DqBLD/Lmu3zsJ8KV1/uFldfgG/yjtVjuYexuJw5L7yflX1UykoloBcb2hxfZNS1d+dIuIQCmjWXxRoeAPMvuBWggnrBJMzA/pXqZvwkN1lOm9shlMvUomzpEg/r7hTXY4XnLp6+/HaZC/7yvu7sG2pcA1NUu+GDoDJnysINRSAX54Mh/2i8zpSz21rV3m1O0z5Gu78DyytFakJh6CxFYb017pnzJOaE4lKHYtE0ut2HZUhfRZEYvDBF7Dbtmv2fi1cCj95Bj4dAJEAWC0wcAoMr9NQ6l27lC6jjtq/HXTyzetDlaO2IT1ce8Z8fRZABPb3N8BjN615xMe6YKdcBWtCeuxNioCMCMIuvRCZIh+c6r+Iwwoe4OroRbyT3I0ON4/R1hwuyfkz/WJHQ+jy1d6WS/opZHRaTEOeWxwY6u9cSiy0YMYaNI6k8Ggz3NXkDZv21NoGG45cBHNGrnxRMqUDPohoHNCSBAwKqDtxsywZy+J/DOMZzzu8hbMiKrgz2mijkUZK2Yim2vcRsgRrFfD7NUblvKs0QNig8uDFZ6o8tzZwXfjtdeoUDIVEnpoXishtPhqGDYCtxylkE7qMlTFSieYskCJljJSqllYwMXBLwZ0HZgwQg/ynYFyp1l3X6A1UngBPvw61jVKfQKW9nLAGOP/k8N67BlPICUl9sm2Nsamu9aIdDLzzqWYkfjS1s2KV8BSPVPef8cqZtiMlbWSXMuZ9T8Fvr5fxPplU2GvQr7T6B5/VNmw9Xk0Hn09T6dSkzvLe8XKctJKWt3qCyArE43DEQzBjIiSawHSAG4RFe0LBe/Cb6zXmqL4JBg2CpePh723qPAOd0G+ohMNW0bm2uth2c3jsFSXS1zWK0KZ2tbZRKfVXX9A3r7U6+Hkx3FIvJcvnqjToAAP98Ozg1UjGTnxBidXEdbkX0+bmEXeDlJhGjElAchVtr11Q6oN7B6RHnFxZq/JlJtocDWVeU9zR4H1uvf0xRvlJNUllce3hebVabdhvofxjMVfvTaGBUUGVFq+uSHvSVnfGZRZZfJ+xOROYw2waaOj2cQeHOcxmO7bv9vHvM7IEazUwZhg8f7u68KIx2HyMVKi1xaxv5bny+zUEGq+M1dis9RbkiUC4jshBfi7g6v+gLsVU+c/v80iWCyYO/uXgNENuNQTqIOyDsvFa1nXh02+UJP/BlyIPy+tU7goFYVCVrsQXLO2dYLV3yNheXiKyt7QGquvS+VnGKHertEglrJyw1tvW7iWw0/nEkjoH9u9iLm1pg8tuE8HMCcvj5vdpe+ctlp8raYvAlRTqtecuVLmzobnzCSxp6/6J49fsvfroK5i7CfhjOl6WBSTBjsLCCeC+Ab++BewKiBwFdg0QTGcudThwylJ4KwAT15DcdYddJioi5PFX9Bp54Vq2HPEJOTkB2hLb898PC4nGum8W+C4QtuD94XDhcnilTV8oRxdq8HF4dZQ7/3hITAJc8k07mHZWfCL8a/hmofd7U2/ff1kKlyz3jpPlRS64cOlaNC41OytHPxgjpawx48L850tFrkyGL63VlQl/dBCuqYfpMXjSC0XdJRfOK111ZyPob2eZDf18EMx6v7L4nsCPn8M5knnMpZ32bh//nM8Yz2bksY5jTTYyZAnWasLvl1LSF3h3imYQ+n0qaaXKbEkbFiyBilKpFDttKT9Rfq7IQW2DyFd7xFPSuqgzqfypYj/YSxV9YHsEo7lVy97zJBQWiJDMWahxNbkhrbO2QaW2yl6aOr6eLUN1W7uWr65TtyRoHwJ+KMyTp2p5veIabK9tPjesMh3oPssn0ug6UNFPmVeZmDFPpdlQME3eLEv73RFRadPxvFELqkW8bK98m/JdpWIxgkF48q9rrhjUt0AiDwJtXR6IQXuemgj8AXB/BMkBiFW5yk1yAMvVXX+uhWdWo8lgVQgENF7p069gsyFPcu5h1+Pz2RgMCTvI3569FtveedUr6kOU+eFfaxubkX85RO5B6VWpgCgbyIG8S9Zpuw7M13twe4M6D6v88Puy7rsaAZ5tgZvrNaB5lxzlWA0KpNf114bOpD3uSNHa2zsnxF2N3ckxCj1NBaNaSOnaIqTScXVCAaT9fPB+hwIvHxukeIru4Lrwx+XwjybFWoQMnFIEN1VmTfZZfD8QIMDJ/IR/cRfJbmYtNNLAfOazGevY5bSRIUuwVoFEQvlNj7+qMtXeO8BpR/eu8Ni2lv/3CyJSY4bC5pvAiEF6/Pq7RQr8PpGTZFLEJBKFshL9/6nXpdD87AipTf1KpPA0tCgPKtdThWbO9zryPPgsvVZzq5Sy8nwRnYI8ldOicRE2102bk9uj6cHLS2rUhXfOCd2MremAn/9RJMlx5IPKCWsfUnMY83LSA59txxuF4yEUUEnL9kqCSa/EWVkGT/2tc6cmaJtT3ZSpnKwUYTLe/ELXhZYo5ORov9ratS9+v45ZQT78eF+4+Ax52NYU44dD8FOgAM1rScltOeAsAccCOxfsMUA+K8kcMSDsyhfUVwiH4Lj9v2WvTa6lJVJC0taBC/rb+fXhF+KzXvY2+HsAfzmUvgGNx4LrTSs3Q6D0GfCtm+RnDBxSAAfnq1wXcttxOu7ho2XTqbZLGJ4zgglFR2J8JVxTC1fW6Xk+4OEEPN8GHw1X/tWFZRokvTgp0uyiz/jFZRoWDfLe2a7G61hGv6f+hFyg3ZHxfrNQWoGq8CsH7PlW+GkPytq1tXBzgxLs8y1IOPKDBQ1cV7VOhyiLLNYbBjCQfdmfV3gJg8HCwvH+RYjwKi9jk2QLttzQm9pnyBKsVeDCG+GFSVBZKjLx8Itw91MqfxXmw7H7w8mHdu4m+9uD8NDzenxxjVLU//MKDO2vjj/HKynESM/Zi8ZFGgpyAQOV5VKI5iyCh6/vvE1vfKDtKi3SoOg5C6REhYMylndEtd69d4KfHq5S3rabw64ni3SAFKs8j5CkSEtOSGrYXY+pG22nrdKvOXWmUtinzRF5aesQyQsF0ycR4xnJAwERqK6IJbR/u26j2YhzF8GE0XDw7tqWrth0hMYSzV0o4hbwq1zoOCKbbe3ydFmWyF88IfJhWVBWBEfsrcT3dfG5jB4Gh70HjxWBrxASreCGwRcAXgdywcoHu4Ae5yLEgao+nj03dtA7+HwO8Xj6DYgl8igramPevI8ZN26vvn3B7xKhnaFqMTj1gA+svnXpGwNhXOqbLuYXjQcy394HF4NpT7BN88f8eeAeXF8fJGA6e8aaHbi0Fu4bCEV+mDJCCtcrbYpp+FVZ55ysAkv5XAsSMsMnPCLmAAUGqm11MnYt7wWMfGM94dZGCJB+XsCS6ntvE1y7gUNms8hiTVBAIT58+PGTIIHr/QOwMLzPZEopYzCDN/CW9g2yBKsbVNfCPU/B3x/SeBZQG3xBPvgtdfkV5Erxue0R+HYpXPErLdfQJKN4Zbl+r28SeYjHRShS5CqVG5W0dTOIkDU06zZhE4V1fjR15e3bawf4v9Pg9kcAV0TkpIOl1LzxISyq1vN3366zF2fUYKXJFxfo/tYOr6zn8zxMKPahuU0hnX/9g/K7YnFFHNi2SI7fr9eNeMOrg0Htn+uouNMR6fnYtnbAoEoFj3b1XHWFMfD4zbDf6SKb4M2iC0rtSzr6vblV225ZrFCYmlq9hPg+OPncfTxM+AjujEJ9GRS1wA7fwhejYUbUe8mUpJH6mQEXOL6PBaWgP0nA7yqg09F7UpDnjf5wext3vBHD+g4DB5NfcmPLFsyzh1HlU9ZCs5PDa7FxtFbXEXMHKCE+AyFsprTXQOuDED6QAv9mXFphuLSi+5cwBv5aBccslmLmR+TaoOyuffKURO+4nUe0JFwY24tnrtkRYctEwMhPFndVMswii/WBFCGy1nLKXgnFFFBIO23YyNpgMB7lCmCAl3kBMPjxM5ZxbMO2BPh+TkfPEqwuqK6F436jbrvGls6Ptbbpi7EwXyrRgJBIwqvvwVnHKmphcY1O9H6fzNc+yzPDGqlUmUiRLBBJ8Qe8BPi4FKNUKe2gs+Cq82CLsennHb0/HL6XCFxxYZpIHX9Qz/t27onqhmxyoX8ZLFuuk3+qZNjarv83NMPUWQrr/NkRMvW3RzRXcMFSkUTLp5/xuEhWihwak1blesIXM+CQX8AJB8MWY5QZFgxIFQv6Ydo8EdiRQ2T2n/2yypbzFkthu/8ZqXWlxUo1T3Eay0jRSnozIZPdqGhrA58PLtgJujbnPbwcTr0O7FlAA2or6+Z7Jxc4tY8nQsxcugtlwTuxnSS245f3zI2RH/Ixctga5lD8DyCeXMgb8e3oZzVjuxbTkoNpcvNwXHimPUgUCKNBzQBhu5FKZxGbODNprb2BvJy/4ISOJ1J4B/k+q0fivk8+vDMMrqvTQOGxITi1GLbMUZfjJcvhxVZlaAWMuh2LLJUye8IAPyxN0okAxlytY5VdmqhU+WizSpxhA6eVwJ553w/lqzoB9zeJZB5WANvnfD+2+4eGCBE+4H3mMAsXlxGMYid2XmNTeiVVlFFGAD8NNODDh8Hg4pJLLsupAQwDGYiDwxd8TgP1HMjB38ucrCzByoDrwtmXa+xLT2NlHFfkKmUutSyRogVLvSyrcik9KaUqZdnJ9El1h4GVars3QZW6UmbwcBAmfQK7nwrP3to5wykQUE7W6mKnreDWP8Ltj8LsBbD9lsqYStqenwmVHBMJzVcsL4F7nobzTk7v69gR8M0cqV6RJEQTMKRKJbkBFXDSIcrAuv0RPSeTRIKO1ZIakblbHlTJMi9X5cbPpskvBio3DqyAp2+BrTeDYw7Q/Uf9Sv43y2icT1Nr+jgn7TSZLS7MOPjfEY4oh5vOVh5VR4KMWmnG/gInFmsER1+hIwKX3rEJx+/xc362/934LAcXsG0//3z5j9yy0w8vT2ad4RuksqALC5xyGt18wsSxcTFWUH5BF4pcIGJTxUyarGJ2aPyYz+ObkzegjWDRh/yq4VtCgRFc2k8ZYN1hQhgeGtT9Y5f0Uxnx0WblaO2ep27H0l4uSi6vgNOWqiM16JUebeCislWTDceB3RfAhxGVKg3wTBucWwLXb+T+rX83whnLNHrJBW6sl5/uycFZkrU+ESfO7fydZpoBGdajRKllOcdwHP41oBE+fBzIQbzICzTShIODhUUJpbTTToIEhRSynBoSJPDjZw6zqaeOMspJksSP/3tDtozrfsdnoTXANtts43766acb7PWffRNO/YP+eLuqV12RMlEPqNAg5YljNSvvJ4fDXY/D82+JkMxekC4HtLSJoEFn86sxCi1dUA2Ll8lb5HhJ8aGglJ2YpxRd/zs494S+6x6a/Bmcd7XKmTX1KgEWF8L4UXqNJTUyvP/zcalUIY8A1jZI7RszXGXTLTaFM4+R4vTJV7DfaTLBd4VlaR3hoMqSg6pElMIhKWAppL5Ay0tg2vP66bqw9Y/lPftsWs/vUU5Iy1//Wzj2wL45Tj1hahROWQyz4sqAypwMY4DxAXh/BBSsQtVbE3w8FXY8QWR11IDZ7DBuMgk7wDtf/ojapkFE1iw+6n8DrsP5C17j/fgg5tqD1eHnJomZEIMCufTzWXycKm23thPMi9M/Wc1JkYfYLvQp8fwAA8NLuDn+G55OnIwxcEcVnLCeQl2fbIE/LVdwaaUfLiqHk1fjtW+vh1/WpLsZQeQsYGD6CBjeQ2ny2Rb4e4MUtr3y4P/Kod96vBxvs6FylshVartTgvQd/eGMH/aM4I0KN3G9N6i5M0oo4RAOW6sxNzY2nzGFD3kfB5dWWojTucRjMAQI4OIyjvFEidJKCznkMpGtGcFIfPgIs2HTe40xU1zX7XZSbrbJNwMPP++Vy+h+/EcKlue1WVYnA7sxigh4+g046UI49TD46REiEfk5KjENqEgnbFsmTSCMUZkxaavLcNPhIiEpA3lDczo5Pp6Quf3MP63+PnVEoLa+s4qUiZ0nwnO3wSF7KvZg3CjYbFRnha60CC78uYY2V9eqLGlZInqv/1NlyRnz4I9/U7joFpvAoP4rlwp93joTCZnVc3NUUvX7lQGWOh6pY+P3QX0jPPPf9GODq0RoY72YguMJEbcDf9T5/mRSXrpF1T0fjzXFhDBMGg5b58DIIOwYglF+qDCwUw580MfkCnTcUts/t3o0D//3VB57+0SW1A36rkW77y+Mxe/670S5P0jM9RNzfcRNLvlWDkMCFrkWjAvCJjGwHIch9kIs2+Ge8M+4L3GKzOquRTEt5HizQn+/HL7t5XPYlziqEL4aBQ2bwvRRq0euQAPgQUpqKjbCj7xb/+nhAuWyGjhxiZLo58Y1q2+HeVC3Hq19jzSLXIEIoU26YeDGuvW3Hf/rWMCCbskVaJbgK7zEcpav8Xp9+NiW7ZjINjTTtBK5Avm9EiRwcPmGr6mhhg46qKOWp3mSv3Ezd3I7z/Nct/laGwPWmWAZYwYbY94yxkwzxnxjjDnPu7/UGPO6MWa293Ojv+ZobJEB23V6Tvz2+5S+DvqS9fvlF8oNq1zX1qEMq1+eBJMehG/fgA/+LRP8w9fCRaeLyPj9Wv6uyzVcORpVecznRR0EA/I9ZebuGKOog0dfkrLUG9ra4cfnQf/dYNg+MHQvEcjuMKBCg6OH9peSlIpEaO9wcewk44Z1cMQ+mhV46uHKuVq0DG66Hyp2hXOvVHL7S5Pg8F/CiRdqW4cPErlMKXgp0ua6YCdVTo14ERErEQOP5bqoizCFXxyvsmB3XYop5Ocq9iFz9M79T8OwvWHij2Gro+RrW7rm3wvdotAHjw+Gg/IhaaDUD2eUaU5dfh+TK5C6WFygsm4KqTiLrcb2/ev9UDAgVMiTw8bw46JcSv15jAvnMDjgY2YcpkQVRvp1MyRr/BTRTL5po8Rp4OPgdixrrsQFpjoKawsaxTI81zUfbQOg1Rb56e6ioa2Xv5N4N8s3JuGvjRBEkRC5FuR7HZDXrEdiU2enRy5B598X9TBAPIu+xzd002WVAYPhJV4gweq9KUmS1FBDPfXMZQ6TeQ8Hp8eSn4uLg02SJB2000orzTSTJEmUCI008AWf8SSP9ziKZ0OiLxSsJPAb13XHATsA5xhjxgH/B/zXdd3RwH+9/2/U2G0bKUmbjlAkQ06GfG4ZeZ5KinTiLi4QMcj1EsZTKMyDj7/2nmPpOaOHwZH7wL67wF/Oh7r3IfYlLH0HTvuxSMvr98Azt8JbD8AJBynSIBXgmcqs8nnlNdeF91dRBjryPHjpXRnn83K0jWddDv/9oPvliwtVfkwmRfTmzI/y2efLiSx4hZNPeJgLLniVssIor07WgOdoTD6x5lZtZ05I/q1QAJ55Qz8HVYp8lpVoGxwnnTyfMuYX5EmNCgfT+wpoxI03dmf37dLbud8u6pjMVMdSV+ag+y8+s7M37aVJcM6V8n2FQ9qOSZ/C8b9Ne+XWFVV+uKEKJg/X7YqK3n016wJj4OHrVM5NJHWzvaT6+676bl7zh4KwBTdWGbbJMSxKwFcxqE3K1zS9A5IxiDs5LGocQtAXJ8cfw+9L0GYV8FriQKa5yi5JIkK2bAOe7Btt+N0y2GsBHLgQjlsMX3fxju7hXWRkfsxt9MX/k6KV1/lWh5fllXFmMEaq1xvrUSQ4tihNqrrywASwOEuy1gtK6L2zt4giIkT4lE9YwIJeida3zOcB7uNZnuJxHuXfPEQH7Tg4K6IaukPqMQcHm85mZoPBxmYhC1jC4jXYs/WDdSZYrutWu677mfd7KzAdGAgcBtzvLXY/cPi6vtZ3jdM8f49tazzOmGGwwxbwxt2wzWZKPHddPd7aoZNzIikSlUIkpjLWmiIUVKkwFFQ8wt47dFaufL6M4E006LgnzF8MH3wOeWGP0FgQDuu5V93V8/N22gpeuQvOPaYJlr/OlqX/ZdSAVvr1y2PSpAX85Odv8cb7MriHgmnjvuuqbNjcwopPVEOzSKrP6zbM9YJAt91cXq7cMNTUiVgV5uuYrfCled+qjquYiD2267ydF5+l9yUvR6TTstIp8mOGqVsyE1feqZ/hcJr0hoLqFJ06s/f3ZU0RMOl5dd8lDtgN5ryqz+xuWyu2Y9ZL8sBl0TtKLNgyJGKVdNWdt1XYGwptwPhgQcNQvloygZqWSloiRdwz+adcl7gcx7WIuZq7WOSDHfpg/NHawHU12PptL/x2aRxeaoXdvlUJrdHWQpeVTOeC8D84NfhPhllzVmRoH10IQ7vxX5X1cFHg8N1dMHSHEUGo6OXs9NwqPLJZ9A22Z4ceIxmKKKaNNuqo42M+4hVe4iEeYBnLVlq2mSZe41UAcsnDxvbKf6t/hdtdAnxK+XJwWLwREqw+tS0aY4YBWwEfAZWum4pmZhlQ2cNzzgDOABgypA9miawD+veDR26Q5+fz6TBisLKlBveHKxwpQEtq0soSeCUuIxIRiclfdPKh67YdwaDUrDsehQuuFUnK9b7I2yMwcjBst3nPz5+70MuF6uqB8qnbMROOA+99piHKlpFC9NGkL2lrXEZHaz6F+dC/nyGSzOfl1xeTqGwlGSogEpPalYlYAmJNIjuxuH6OGQrT50nxCgchEtFr/OI4kbChA0Qc//UEvPKemgJicSlNR+0Dt13SOcQV1EV4/9Vw3dYCD74AACAASURBVN3KHGvr0Dp23Rqu+62IXSYWL+vGD+ZTOGnD9/iLelCVSsxZdI/6JvjNNfDmx7pw+sPpano4Yyk80CwlxAfUOfIb7ZgD0wMafwSG5ngxzZFiWAYN4UGkYtaKLClhtguvt4to/Wg9j1CbEYdvYipTLkhAhysS5Drwx1qVLh8ruZPS6D1ckOPSZMM53MX98fPpX3AC55d3v95dc6XGLktKoQMlx7vAOeu5OfX0EriqvrOClYqau7MRzirtnCeWRd/DwuJETuZhHuxEhkKEKKGYaqqxMBRTjA8fMWK8xAuczE86ZVfNYiYODkGCRIjQQMOKeIZ1QWZQaf5GOL2iz7oIjTH5wDvAX1zXfcoY0+S6bnHG442u6/bqw9rQXYSrwuJqGLm/lx7u+YNcV7eKUnXS/eZUEYi+wh2PwmV/VzQESNF54q86ufaE2gYYua98XL4MCt3WDvvsJPKGt+1/uVOEMuCHuib5kqILXsTEl5ObF8ay0vvoJNrpKDkUf27FipDUntCvRKSwtFANAJGYlJZD9lDHZFcStC6ob9L2lffw6dr9J4qjyM1hhUyWTOgEOeslzV/M4oeFpTWw6cEi35n5r8efAs8c6g3izuhQSwIjAxBvh4ULwU2pO8ugtBrGHQW5ARgbho874LOo91yj9R6UD48O7NvZgAkXXmjVGB2fgcMLYL98KaTvtsP5NTAnDq1OOoIhtZ87+edwe+7xtFKOjV8Dr02czYNNLMp/hhbTnzFBeay6YmoEjlis+Ymg1z6nBK7q9hL5u8Nvl2lEUKbGYYAclIj/1BDYbgMpiP9rsLH5gs/5nCm000GIEO2000E7pZRRRLre3E47+3MAQxm24r53eJsZTCdJgibP1L465CoVRLoqpSufAs7jfEKspyn3Geiti7BPFCxjTAB4EnjYdd2nvLtrjDH9XdetNsb0h7VoNdjI8NFUEZGifPl5knZ6Jl6LR176klwBnH0cnHYUfDlTys3wHvJ1MtGvFI7cFx57WSTL75OCFAzAZb9IL/fB55qZOLBS5brlDd6A5JxBEF1CJBqmIA86YuA6SfLCFlZhCe2xVUdMTRynbr8j9oGtx8nflr+aV/nNLfDXBxXgWl6ibsV9ezmuvc2FBLjoDDjhd5q5GPTLIJ9IwKlHZMnVDxWnXSpylfL8gf5OH/kUwodA2AdRO01IDCIU44qgeKyGpceboWJTKN5D5cRtcuCCMhgxRwOdU6NrHBdebIMnWuGYbnxNawPXhd/VwKR2mc1d4JKo8qz+3A9GBTX4OeakCUimIXy49QFJ18Fn/ASMSqGNTpDpMYf72z9hsnMofgMXlq8ccjohB2aOgkkd2u/d8xQN0ROabHi8WeXKMh8cV9RzRtjqojap1PtiA41uZy+La6Qafh3NEqz1BR8+tmYbtmIii1jIPOaxlMU00NiJXAkuyS5eqcEM4Ru+ookmfPjxecb1rshUtVLzClMzC3tCkCCHcOgGIVerwjoTLGOMAe4Gpruue1PGQ88BPwGu8X4+u66vtaHh945WarzNiqtVo/LXY6/IoD6wj6/0AgF5wNYE91wJwwZobmJbB0zYVLlQW41ToOllt8Ir7ypqoqYeYjF5qzocMAWbYrXPwIk30d4ewrg2yaTN8O12oWxwgCnfdM6ssqzOZvFUQ0C+5xlLxSUsXQ4vvAVzF4uAHbHXyuW/pmbY7jiVYlPrffMjkaSLzly747fvznDvlfCn20X6CvPhjKPh/05fu/VlsfHj/S86x6GAysLxZkhGwc3V7MA2b7yTg0jTHf3l73nWB4OGSS1q80jMCUVKQ7ddlQhTSMW2PNTUdwTrsyhM7lCKe2ofCl3NQTyxCDYNKdn82vq0cpWJNieX6fYmtLv5VJnqFaW0qGWoSwYpDUghu6JWZK3rqB6/Udr7qtBiw6lLYFESCi34NgGTI3BBqQJ21xYLEiJVgwLQ0qWDv9jrbixfj56wLAQLi6EMYyjDqGYpz/L0irBQkE/KYBjAAAA66GAG01nKEhzcFSb1rmb11LoLKcLCEPP+WfhIkui2nJgiYEUUM4ZNvuM9Xzv0hYK1M3Ay8JUxJtXbdhEiVo8ZY34OLACO6YPX2qA4YFeZs1syumlSFdbB/fVFN21u3xOstYFlwZ/O1S0TrqtxObMXyJdS1yhPWWsHFBWmnhwid/hhOC3TiDcvoLA4j0hwPFXDB2JZIkdLamDWAhEgn1cuxWj9xd56fFY6r+q1yXDOFSJZ8YTUBMuCPbeHWy+ROR3g2nuUjZWfmz6xJBLyW519nLo41waH7AkH76HtCQWzSdA/dISCGm2VCdcFaykU2SoP5npKSNRRifA/g2DLMIwNQsiCZ1pFpir8Uo3Gh+G9jp5fsy8/U9Nieu3MdVpGatn0mAjWlRUaI1PdTan+xeQhzHbGkMRPpanhZ8F7GGQtJu4GeTOxI8XAsKBG0Dzb2vssxJ4wqR3OqVbIbokFeSEZ4eMu3NYIhxVKfVsbRBx5zJJuupMw14h05Vgix7uvZ99bFp1RRX/GMp7pfEOK5hssdmU3csihlVae4kkidKzQrGycFeNxQoSxSa5IbPfjJ0aUCir5CUcxi1l8wsc0okG0XTsUXVx83j8bGx8bH+Puiy7C91zXNa7rTnBdd0vv9pLruvWu6+7luu5o13X3dl23oS82eEMiGIR/XSHiYDtSsRxHfqPBVV78wMbns+uEb+bA7IUqjZWViOQkEjr5tLRofxwXIskwTtFEKjc7goGb78uhBw6kph6+mA7vf64crEGV+tJPOmk/WjCgLCbHK8Ptu7PKqb+/UeQqEvPKkOgYvvGBPFKLvXaIV95VMnzmiSUQ0HP+++G67bsxXs5XllytV9iJBF8/+xR3HLsX12w7ktuP2I2ZHyk91nFhUiOc9yH84mV4/hOY26GT96R2jZNZG5xyiBdMmaGs2rYukP47XsOXO1xod6TWXFsBP8rXciFLpbM3h8KLQ+C5wbCrdzI/ulAXFPHM9XoXWSf1kXoFIiq+bj6nPgPF3nnEMvC3Kii3Vg5GThCkxq2kjHrq3HL+nTiBAHEuilxLxBRR7VVn/CZ9jKOO8rScrnJYN3i8GQ5aCNPjahao9RoF6pNgIu1Emhr58LOvcew1fwM/i8BRiyHiQox0GbfDFREeF4Tb+yt/LosNB4NhN37EoRzOBLZga7bhaI5lHOMB+IwpRGgnjzwSJGilDRdnhf/KJomFRYAAIUI4OFRQyREcRQmlbM8OnMbpFFHUI3lKkqSIoo12GHR2FuEa4tA9YcrjsP+Z+vIeVJVWgirLN/6gx4bmdOlkeb2IS3vUM7F7X6yW0cnItsEqURTA2cfBwy/AJbcoCqBfqfY/LywTe/9yjfopKVBga6ojcZeJ8O4UpclHYyuHIbpoO35zHTx6k7KcVvqC9/5f2ocnsCzWD5xkkufPP4cvn3sMatsAQ+3XC3j0tf9n77zj5KrLLv793TZ9e8smm15IKOkJUoL0IkhR0BdFXnlRURRFRRAQBRUVUQQEFJCmFDVIlaJ0Q0yDNNJIr5vtbXb6vff947mzs5vspm56Tj772c3uzNwyd+4993nOc845TLzjJ/zjrB/y97Uyqebo8Mca0J4D67NQGII+BlxbvPORNL/4Lrw/F2YuBMcjE34fvHAfHB2EpUNgThyaHDghAMFuzt8BbesMySIDfl0G36+V1mH24n9eGD6bt/Vr7CqmBKXl1mhLdQigwRbidVwn3dFn8uDvrVJty9DVN6reKaOxvQh/PM7qwGDO1F4nGQxhISd+x5Fq03EBsXaY6lXsinW4rhhOCXe/bll9WMrturwMLvObYhz39O8ZuHYFjydiPDR2Iv/31S9xet+iHbqxSblSFYs7st0xV4KtbcTw9NJ8aeO2OfCrehkCcIBzwvCNIhG/H8beg7QD+1JJ363+tpY1pMmwmlUdeqtsq0+hSJNGR6eCCkBhYvBZLiGvk6ZrOctJkSZB9+HADg4+rP02m/AwwdoFHDFEQohvvkeIVW2DtLh+cW1Op7W/YsRAibxZuU4sCjofltmflZIWXd9ysXqYuwS+f4fotco9Ufi0D6QapZQIib98oRimvjVTMhcnHSOtxOzfY4me74xtB15+F/7wjNg3fPkmsYAwDMAVa4rSIjhpYtfnJZJSHSvKF33NYex/WDdtGovnvQ117eA3vfKhi5u2eeLVD/nXqASqxUfAVLQ64FjgjAbfe9B2FliOTJId5ZdYoh2FYcD0p2Uw5R//hqpyuOrzuc+nUjBxF4XYXy2CM8LwSLNUwC6MwAm93K6K6FKl+VGt6JFcYJgFPy+TCltn1NgwyQ8LU0JMMniVu/XgtBvEiEAIeAU4F1JVQkoWpGQqcVES/tEqWYOmpzm7oRYeNKRluiVaHajOyHJ0Oum/bAdf7SaGvvw0tuXDl4jB0vncbgVZ+vWvcs0ODJQsSECdLUQr6YnbQ54EoUCXlq4DfHMzLEpAiSHnrX+0wfwE/KWvkDK/6qqTO4ydQ21GJlUtBWMDQmgDCgaYYKsMG9hAO1GKKKKCPmS8Vl+AQAfZsbGpp66Ldir7c/a7jU0ttfSjimKKmctcjmAk5ZSTJMkMpmNh9ih0NzCop2Ev7JFdw35OB/ZfjB0FL90PazbKZGG/igOj9bRohRCWNm98PRs5o5CLj+uKnYFS0BKVild+SMjRCk9z1dSaI0uuK+2Sn/8Bxh8JXzhv62WOP1Jah9tCOAiPPgfP3Suh0Q9NhVRKTqxFBfDs74RENTYLiXv+TVi0XNa5uBCuuwJOPbYXd1QvIu2KdueDuExjnRmWi8WalFwwtjWhdaBj3bRppDc1yJVSiUjPxQVDY/mxZ+I21qE5xSSMoJxyU0AhpN6DgrOkglOgyZTezhCsLCYfI1+9jYEW3FbW+6/bGSN8ogvbkJHd11nwnkUaufj10WGcH+bHodkFmoF2wERYkIbMcT8DgeukShVQcH0xXLZRdGZZg9ywJu3CJ1u2JlhRBxozOVsIhVxEMkCgpZG8mo20F5cTTMbIWBZaOsnRT9zLX877HJ/Jy6fvds4Dy5LiwZV1m3eAdlcu9BlXKnsfJGBpUqqb3iFFUMGb7TBguVQdS3U4NyJTn6EtiJbrwvykkIihlpiaHobAceDqzfBYS65CqYBiDaosODrQxpTy50lrbTgeSUqTJkoUmwwBApzMKYxnInHiuLjdkqNsJUtHx8BgA+tJk6KaTSxhMScyhUIKO6iZgUmKZJfnZ7/r+3Gk8kF8at/z0DQxI93X2LChlcWL68jP9zF+fCWG0fMBd//TYvXg88G6TTmipOjUvnOlOpVICvEpzJMHtMdg4fLuM89iCTFFveN74rJe1KmlE/DD974sQdU9YWh/8Rf7cDH86Otw7eWiuSorEh2XYcDshXDtr4TUNja5DIq9wbDWqfhUjDtmnUnwntOpslZjBAKUHXUU2n5Q1ko4crc9z6twN9nwrc3ywSvWpQ10fAhuLRWydbDBX1iIMnXvmHE72gOu66A5No4ycBIJHNOH6uyM67WxlefB1raLWqwDHUpBlUdK5sbh0WapUl2UB2eFhXgMtyQ6JqxBREGr67VFQ9AhTXkflAlaA0yKQbhMKkVLvCGULdMH/AoWxuGfbWI8aiDH7YKkLFNDuLBGjmQZqQSVC2ex7JTzcHSTyqXzqFi5CF97O+EVS1k4ZPJ2CdZ/Yp6QXeXCnl3k57F+OC0EL0WFgGXJ5pq0+IElvXXBy2ZstaV9WqCJiP8rhXIz87VNsCkj2+Ei1chbS/dOAsP+jvub5BjLmvCmkX3U6EBeBpzguyxJtzHaCoOCTWwkShQDAxOLBAle4Z8ECJAkgY6B203lqXMFK07caxmKnsomw3SmcS6fxsXBhx9FW5dJwux5JESIIQzba/tnZ3GYYB3AcF2Xu+6awdNPf9RxsqmoCHPffedQVbW1YMl1YfVGcay3LGho6pR56J3MHEdsHbIcSk/KVF+/ipybfLfrAixbDT++TzIELzgNLjkTRgyWv1/7JXjiBVi6auug5iFVMh24eIVovCxT2n7f+kLO4iGVEoKmKanATWq4ixH1T5JWAVx0BjX9mkfOeYAJR6TQdI1weTln/e53FA4evKu7t1fwfJuIdvsYsDgl/j5xr/WRcsExpLr1ozq4ZxcilvZ3DDvnHN579gHa1zXLG68JuSLlMGLGKyyacDGZdhM3k8GxdPADdeA7UvRAWTPPU/fBxFibLWaXL0flYnxFAfywRIYw9jZ+ViuWDA7yWXuqFc4IwT+q4PvFolual4CoK0acbR8AEVA2mMvBqRP/KMtr2Wc1l8MsqfjEnZzezHblWLUU3Fon5GZlUp4fRKpVWS6SnetSQEHdJlaceDaOYaDZNmvGT6Hvwpmc9NidkJ9P3g7stxUpOMKCFd4LZwOpIxo80kfao1WG15p0Zd1Wp4XsgVzQFLIflqZz6zYzLm1ExxEiZighXsMteLUNjvFJ/uGhjvub5BjT2Tq/stFJUeJfR1smRNSAgG4TI9ZBfDQUGiYpUrzLOxRR5JEvv9dA3HaAZCONBAhgYeGSJEOGEkqpoxYfPlxc0qQ7Kl8BAhRTykQmbvN19yX239raHkYqBc+8Ap//HlxyLfz5RanY7I9wXfhwEVz7C7jiRpm0A3jnnTU89dRCSkuDlJeHKS8PU1vbzo03vkl3Dv1KweB+olsK+GBIf/G+yrIp3TNlzGqwgn75Wr1BXOBNY+vImc7w+8RBe95SuOVeGPVp6DMFps2RScB3H4dzpkhFTNfEO2zMCBg5RMhZfZMYi5aXSDXrlt+L1gvgoxVSJfNZEEhsYnj9M0T1chJ6IRk9SFqFMNMtLG/rT7isjFh9Pa995zu7NMXUm3g9KheHFkeqV9mSO0hxoc4W8e6MGFQfhAG2hYMGccEPf4txTD9RsidsVMpBBUz6xTcw9qMX0fMdnLCBYwFRMFaAc7wQ0QJvHH9vR9HEMjBiBTzUIjYI6zLwk3o4fg3Upruv4u4prEnBrxtEHxX2LAqCCv7VLr5c4wPwO0+iENGg0oIj+4PxIqhp4NZ70VltUFgFeoEQmCId8hRcUyRi/7qMEKn3YnKsVhpS8WnJIBJjVz63pspNOOoIofMBNUOOJNxYS6ipHn9bM4HmejaNGs+KE8/GN3QEE3bAFHSwJQauEwPSIh3lk9bnaB8Ue9WvCQEhhpsz0kJOd3ovHHJi/yx073f1trRPAwosxCB1hdemn3oAR2b1Jlo7sarsuUp1/F9GGpSCBBlqqe0IaraxSZLs8Leqo44gYc9CIbMDFgoKDUUrLR3hNxY+zuRsyqkg7P0LEqSCPoziSE7nTC7hc0ToxemSXsYhWcFyXbj+t/DubDGdVMBdj8N/58Hvb+7duIvdhevCD38L9z4pbTuAx16QlpqvaSmr1xisqdGoLBOriJKSIMuWNbBhQ2u3VaxvfkFaea4rgnVDF5H+2JHQ0CJEZ+Rg2QcfLMqNoNc1SgXLMoX8dIdQAKrrcxcfhZiYnnc1vPmoiN5fvF+W984suP8ZIbU19aL1Onp4LkInGJDK2sPPwgnjvQ+5ZwNRlFiGi8JV8qHVHQk+dJXO5jpgOASLi4nW1FD70UdUjB7dW2/HTsOv5O6vzZs4s93cnWHSFV3Jhwm5o366Bb5d3P14/q5iY1pCgDdlxJhxsCUXrQF7UXcy9PQzuP7EJcz+xxP85947sSwLv1ELaiX9nrmas474PR9/7cfMaD2b1ojBkV+SfTXKD/+TLxmBvblPdgQ/rYfNtlycO1drZiXg+NUiur+plB0iDbuL51qFIPi38MTChada4OJ8IUL9TdEeAbgTIb0S1k+XfVduQFsBRL4I05MiHK9VEolzZSH8vBSuqoZmR45Rn4JlKa8968g+yPJ/F6ksaUgu40ALEo7LioRGuqSMQG01acMCBY5l8dGnL+PtSoW1A+/hVwrhG9WgO9DPasU0N9Dm6FweHICu5OSgAeeH4daEVK86E6rubqc6n66ynz3lkaxGB/q6uXbkoY6JftE7ush+zu47Beiuj2iqirC1nEatiS3tbe1O7uwWFo004CcAXuVJR6aWujMZVYDmZRnGiZFPPmWUoVBcwEW00EKaFIUUYRxAtOXAWdNexEfLpTLSp1Sm1ZQGlUGY/ZGQijFHiOZnfxCtz18K9z0tRCQb++E4YhRqtuYRMjejlIQ4J5IwYpBCKUU63X20wEkT4a4bRIu1agMM6QefPhlefAua28REde5SCWkeNUTMRBNeFNCIwRCNQ3WtPLYz+pQKSXLdnPBUKWmntLbD3X+WgGYQD65LzoYLToWlq6WaeNVt0iZMJKA5KnfKoYAYmgIcOVSc4aMxyCsrEuvaDsgHXeGQUkFcN5UzKY1twxlyL+CzeTCr1hMCuzlNg0I0yACmC47KBRBf30MQ785iThxu2VzP6dqjjGEG8+yjeDZ9MnOdKUwOaNxeLrqWvXGcG34/n7j0qwwYPo63briIlsYYKccgNLiQKdfm8T+VP+ZZJ8bzmc9xTx8hML2FDsK/E9v5kmdSarO1S/q6DBRmRJP0dF8hGHsSptra56rz30B0WmElSQxBTc5pwy8FawpMrpeq8cJ+8H4KDAcq/dK2tl14qEmyFEsMONqQOB48gfPKtFR82jpZMnTWbZboUEkG982Xqa8YitVYh6kpfKaGHQyRMU1OnP5PBp+/Y5MGEwPw23J4ND6fcHg6hnIo1RVRXWctZzKAgfy5Be5ukKnHPga8G8u1LXeEJ0Ud8dDKavyabIn3OQz4Zbno4Jq2uHwYyP5e1DiFU6tmyY7bAp2nBUspI0QI05sAPJ8LWcNq3uJN2oluFZPj4pIhjQ8f+RRwFmd3EbIXsBuxAPsQhyTBWrZa2k1zl0AsDihv1F/BNT+HVEbyBi87H7706X1rAfDsvyXGRutkvpk9jDPlR5FKrsWIK/zKpbYRivKSlJQEGTiw5wNyygT5AiEwF10jr59IiTmo4wjxOXa0TABu3Ay/+YFU0H76Bzh+nFgx1DSA64jpaHG+VLmyUMhJPntWXrpq6/WwLDhmhFwAK0qENNY00MFAbFt8x7KPvfM6+PYvIFV6NC3WQPJTa2jXS7Ex8DuN2MoiEnRQCjLJJJquU3bUTmYM9TJOCcGlefDnlq53yZ1PTxngCFNOYM+2itandDc/mY4Lv6pr4ybzy8xJDeOHqZ/iAjo2+azj9dhA5q+FMyNiVpmvy5TjY80iGh7thy8XwJBeJg+V44Zx6ZNlLFo5mGrdIL+vH6UUMRwmqed5gc8xoJc8A6vTcPlGaXnZwEAT/tFXfLC2h+zFujti4wIbM9BXl/fre71EiHvCxXlwc51M62bzD22vqnS59zE3FNxQAjd6/lw+JXYFJZXwUYVUoxIp0SoZwPIkRG0Y7pPXeakt57pepsvkol9JparchHovfzTtfZ5tpE1ZZUL5w3dT8NJfmf/De4iH87Ga6nDsGJo/iJGI8enKnXNfHhVqYFLoffxuAAMdFKRI8W9e5xLnf3moyUeJQUdFLKKk9bcj5Co78Zhwc8R7lA8uO0ywAGnLzh4EN9XC2zHA0+n1s2CQCcfl1zJT2/aetvARIuT9bNFOOxoaR3E003mfGO0YGB2VLAsLB4cQYc7jPIYyfL/1tdpZHJIEyzQlk840cll4dY1CICxLpuySKbj3L0LArr50362r5k26dL77dizgInCPyiPtnE1TewzfMwtQ09cTTxj87Gcno2k7doC+P1dsF2obc07n7XGpKi1ZKW3EL18Epx8P73+YMynNj8gXSMswmZZ9l4nLicvQPRsIV/bzkG1MWyol1axv3+6FU5tSWdQ0WL5GKnN+H4wZCS8/AO9/qHGv715ir/6YysQHoCBmlNGulzIwuZJojdx+nXjTTfgi+9ZaXym5AB/jl8y2WrurOaOGaGEqPFKhI75Hu0uwNmRguPMKMXTuS11FiCimkmaKSZpqtw8Njo+FCbizQaazvl8jFZGggn9F4Z12eLQShvVqhqqNpilGDA8TSyqSrlTw0ihsN8NXC8QDaneRcWHyasnIy2JFGsaugUWDYcR2KmRVBnyU6v6inUH0O5WGVLP2NMpN+G0ZXOuRJ5DP1qX5YrCZcmF9WiwVHq2Ev7WKPunYgFTiNqQlFDrb7swWJ2psqPJafaYmLWsQ0tTkQLvteWrhVRRdOa4cYIwlhE+1tVLwz7+TKCjmpOcfYfY5lxItLAHHQXdcvjjvDS649sqd2t7VrAJcDJU7EORCHWWJs5G0O7hLu9GnQcQW0pdCWn8Jtm4XKmSGwlXS2gS4phCuKWGH2peHCgb54KkeztcLSTKTrqHMnWFhESD34RKNloPp/ZvABGYwA3DJkCFFCsf7+6c4l2H7aabgruKQIViuCws/hlXrYdZHcuFLZ+S7piCekLvCzfXSHqwslVbWky+LiaamiTlnXlhyB/cWLj0X7nhECE/WJNH9DHBkGhpa0Y0Muj+AfdUJFPs385fbKjl61I4rgh1HqkaG7r2+KULy1qhs/xO/hCMGy36adLQQrrpGEaODtAUHV8HdN4qh4+0PinbKdcUlHqBPGXztc9tej7Z26F8phDaeFJuH/n3k/3OXwCfGyOMiITjrRHjw72WsO/UBFm+sIxVPoueXc4w1nepN73LOBRFGf+YcSkbsPx/WKkO0LBG8aqEjFwGX3Hi441UGKnrhU+lXMFSbzzvp43FdMLWcmiKkYlikieOjQJPYk394It8qU0hWQBOfoIea4Y7ezNbUisA4Estexhh/CRvT0GC7FKsWAoH/5dRe6gT8rUXIAHStQtnAxRtgwdBtPz+oQbkuJGRLGAgZaXNEs7I3cEURnBWBJ5pF/H9RBEYHRF/36waZAnSAk4JwS6mQ1PoM/KxOqm3Zdz/rL5XyxN5Rj0R9tQAeaMpNE472wcqUhC1/twhODsvj6zJyfBRoMpX39LwaeIeVeQAAIABJREFUMijyLYPRbdWc+exdrAyXEo0nGKlSXDH1r6id7EF3N9afRVhz0ZRU0rLt0T4mLHWgUhfyVG9DwJF2e3ZuqZ8Gw/0S5VOdgS/lw2UFUrE5jB1HXyoxMLG9UOfOJMvExMEljNzUOjjUUQfAYzxCGWUcw2hCBAHVMRnYTjuV9N1vA5t3B4cEwUokxYl81kIhUavWS5VG10TT0xmNLVLRWbxCND8BH1z5I5izSCbrDB1GHwG//C4U74W28IhB8IMr4OcPeuLyPGBkEjbXoJRLxlW4yQSuFqLvZQM5elTP/ZVUCu58FP75rpCnm6+Co4dJtcjMHgmuPM5xxJ6hpkEIFkiF6g8/kem+hcvkMYX58PmzpcV6yzfg/FPgqlthwTLZV6OGwk+u3tqFfUvYNkSCIt7vjHiia55cFgEfhILQZ2xpx+8c5yRWFJ7EpG8LEduf0GxL2yaNfOgCmlQVsmLStCsThacE5aK2uygzwDQGkUy3b6U9UrikpfnC4hS02IAn+q3JSLUtpIkZ6uy4VLIcYLy/l7y6IrdAy9fwOZsZrDsMNjQwxkH+JT2LjXYSM+M9t/iWpbr55RY4NghrM1Jd27DF8ZetQIaUVP7eaheyNdon7+3djbA0BeN98K1iKO6ls2ylCTfkDnfmJ+CW2lzYul/JurjAnRUyYVdjyzpliZVCCJWNkKyoR9b+12tL39kgpMtx4ZyIhFzn6VI5u60OXo3KsTDcghtL4JGxfbh5widYWjWE5qZaJqz5iBGtNUQ3b2bk5z630+QKYCCD+IAPcHDQvEH3NGk0NIZofbk0Dx5tgSJNPlMBj/D5va+kK+3RYo9klpsw3BSdo67BVUVw6x42iT1YUUQxYxjDh977k4VC0Z+BVNGPVawiRjuttGGToZQyDAw2U8161jOOcWxiIy20olAMYQhT+ORB0xbsDNXdOP++woQJE9w5c+b0+uv+aaoIxSvLJCbmw8XS0tI1IRfd7QGFxMQ4jjwu4JfvwwbI30cfAQ/d1uur2iNmL4Sf3AfLYg7rLmjAH0tgOxqptCfWDCnGlFjMPLV7QUhbFIZ/Sib2stA1+Nk18MhzMv2nEEKTznhTI7q05v7vIvjdjVuvz3d/JeL6lqhUAS84FR68VVqwrittVp+1Y+LiuYvhKz8WY9Gs5i0Wl2rYaw8KmeqM596Anz4g4npNk+XVNMCJ4+G31+/wbt1rmB2HqzYJiWp1chofx4E8bwLsogh8s6j3Ij7qU5t5s/rH3Br/DkGi6MrBIkm9U8JSdxRlmlxgS7wLqHKlOuIgLRPblfd1uE/aS7oSQ8bTe8io2yk4UUi9C85mMEaCOQlU793vPdgIX9ssP2cPv+znPAi0j9r28zdn4LINMqW2Li2EJOsPpCE5ed8phjc8cuUgxGR9p6qZixjJvjtQ9mFv47vVou3rPEWX77mYvzoA3o/B16pFbxTv1FpMI7qlI33w+z5dBx2SjmjwCrZIGPhWtYQ5l+qyD5ocacMmXVhXXYPZWA+aRijawpUP/Zg+mQSfefJJ8vr126Vtm80sPmAOLg4KhYbGyZzGMIYRs+F7NfBcm6zDkT74dbnkEC5Pwfq0zdTkEkqCizC1DCujI1jWegyDTYsv5gvBOtwS3HXY2CxgPjOYTpwEgxjEqZxGhDwUihQpGmjgef7R8TlopQXb++fDxyAGcyqnEyKEjwO7jKiU+sB13Qnd/u1QIFjnfl2IQzAglamGFqlc7YhFkmnIRbDAczN3bGmVNbRIfEv/yl5f3W1i1fpWxsxux9JAz+TuIGIhH0csWMvs68d3+7wv/ACe/mduEhGkhWfqEoz7yLMQS8KaDTnxp88HPlMe9+4TIngH+fv5V8O0ubIPLVP2UTwB//MpePinYnnxr/eF/Jx1Akw8ettEy3XFKuPpf3b4UWKa8Kvv5QT5nWHb0o588W1vZB0YOgDuuXHvVBZ3FkkHzl4nF+Ks0DY7Jn5fhXgZ7QknaSe1mBuql/F6YgS2C01uPrVuBYVK73DiHhuQtsqypFx8szEoIoqHUg3GBKTKFnXh+areaWPuSWQcCC3NGVB2xsVh+Fv/bv6wBWoycHe9VKQyyEW5TId+hrSe8nSZ2iv0jDvfjUmsS4GWa19FHbGZeGNg721bFmNXio9TQOUmd5MI+fv3AKlO/rhWSH2bI21pG3lPzwvDI313rCK5JgWXbJBt7/wZnhkTW4d8zcVXV41VvYH2YJi+Net5dcoQyodtpw+7HTTSwHrWo6MzgIFEiGC78M1qmBUXUX5WsH5+GG4pkxbqVPvf9AkuI+34cFCE9ATxVDlFsYu4s+IgjEvYD7GYRTzLVHQ00qRxcLDweWakOnnkcTTHcAIn7utV3W1si2Dt56fJ3oHjdCUVydSOkavs5J6LRyQssDNiO6B79gN7G0URi/JXp1P72YnYjouWtrH9BkZjO8fUNPb4vNfey5mIZmHoUq0qyYcrL5Y8wc6BzAkvLsdnwlMv5wjWx2tkytDOgN/ToGiaVKv++S5cfRv89TWZ1LRMMXH9xv9I/E1PUEr+/qmTpJUb8AmxKushIFbXJVLnfy+Q9SktEh+t/cFaozv4NLnLvrZGKlgOQm7+rwAmBfbcemvWKH5VNZLPxGO8F7NwMCn0KlZ/a/VE7RoU41mAeO9/9jBwEJPUzRlpXTZ5IbAX7+dTV4ZHMs5YC539g/3IZKfj5oh5Twhr4gZeaQrZchFvrDRwcwn8qUVIB8jvsg79yU76ID+SnWe7vevl5bjyvmQja+J2TryecuDhJig0ZBtHWfKYrHdVypXK1Y62e2sysu6dj1HXW74CNKVIl1WSLqvEceHjIaNY1w92V7pXRDFFdD0BzIzD7EQuhxBkX7wUhfMi8GhrA8NLlxPPRDrak60ZkyKrjoXRdWTcQb1yI9O6YQMrXn+dZHMz/Y47jr6TJu0X0Vz7AxIkmMZ/PDKldcTapElhYBDw/n3MsoOCYG0LhwTBOmeKBAn7faIVWl+9Y89znFwyfSKVCyxOZ8SFfFuTcXsKBQV+LirSefGhd0mecgSpSIC8D2sx31rKl28/ucfnqWxJohv4fPDtC+APT0Nd09Z/T6ahqZPvVTojQvStDFmV/P6Bv+Z+lUhKhuFvHoMLT4OBfXveNqVEczZiUM+P2RJVffbu0MHuYHwA/lkF78elZTM+IK3BPQ2lKSaHQkzeQpdWacKv6qWN1e5NmYFchLMmgy5yca7P5LRhqR6Oo/0NU0IwYxBcuC5nN1Cgw4PNQsCuLNz28/8dlfbgET6xq2iyc4MIw62uVkBZfdOWuyZbBext72IHqZQ1INWp7OtnvK/fN0nFLQgkdQjquYGKW0pFGL6jGGQJQeyOJGYJZXYCMRtVk+hZp75bWJjYeqo6S5Rfj0Jaq8f2plJVx/oqMq5LxNoM7MTJpQeseust3rzhBtLxOAALnnqKQSefzGm//CWacUhcUreJ9azHxaGAQppp6iKEd3HJQ+7ODkbN1ZY4JI6Gyy+AWQs8U8t0pxF51bVisyWymV2aJlWvRlv+v3ItfP1/pGKzL3DzzVNI3PwW/33sfXRdjEWvvnoixx/fM+M772R4/AUhi1lilMlIVe7C00TY3tDS8zIjnRyrRwyE/JCYjWZ3gevKa7d1qupl2xa2I9qvd2dvTbDqm+C92dIOPOP4fbdP9xYiuoT07g/4bB4sTAqRiDo54rQlUXCQ9zLjVUAm74CP1P6AlAs310KLV1FKuSKKLjXg8Wb4Yv629W7zErmsZFPJ4ADIJN2aNGxKw6qkENU+psTONLm557iuTIpeGO79CqWh4OSQWE8EENJnd3r/svq5Vlcyn28qEbIxOZDbjh1FmQGX5En+YZ6SZTc7YlOxISMJSFnLuxRi83HUHpLVlOrdDy5oyLG8KR1ipPc7FzlmdcBRipFGZLeqV4mWFt6/4w5m3HUXGY9coRS6z0eqtZWhZ5/N4FNP3fUFHCTIToHmkYeORh11ZLypwzzyMTGJEmU0Y/bxmu55HBIEKxKCR34OM+aLi/v1v5GLvu30nD/os6QN6Dhy8W/3NFt9SuXr1f+ILuu6K/butgBEIj7uvvtsNm5spbExzqBBhYTD22Ym994k8TTrqnNhy7oOD/xYts9xeo7AUUgFLwvThN/eABd/R7Rs2XxCI3uWJXdB6SBZNrRs4f5+71/gtgeklaiQKcJHboezD+6q8X4DQ8HPy8TYdFkS/m+TtMC27J5nyVa9LY8degCQYNeFH9XCtLhUmmyEDDQ5MMYnZKvJhj7bIFj9TdjyI+G6sDYJX6nOubzXp8TSoL8J2KIJyngToiMt0djtCXyzCB5ulvfRQNzWQX52kN9rSEzSUGv33PG/WyxVvGdaYUNKJhb7eoakLrljRkdI0LIUHLsHri6nhOGeJnnvCrz3rt6WicEVKYilKolmCgibzUQzntmlHsfv+vhGZNc1Ybbjcu8vfsfKNTXkWX6C8bgX3+ViJxI0rlrFor/97TDBAirpi0LhYBMmQoAgm9lMiiQaGu20U0454+lWtnRQYT9K3duzMAzJtLvq83DpeeJA7jpb6zAMXX533Bg4eTJMmQgVxdJGKy+WPL0+peI8/rfXuk7l7W307ZvH0UeXb5dcgVhOfPyqEKpzpsBXPgsrXxcNE0hVK+t3Zejy/6wGzTTF1b0zzjge/vUwTDxKXO+rKuD803JeXd3hlGNzP89fCj+6RyqKoYAMILQn4Is/gOZtVNIOo/cxxIKzwyLe7py9l4WGVCXuKoevF+2DFdxRuC4k34bmK1he91Xeat1EhRYHJdUbC2mF1mSkcrU9+4RzIyIgb/Iq17YLHyehxs0NK2RfIoFogGqHwVN94eZSGQaYMxgK9tBt7EBTBPRVhnz5kPfPJdfKy57fmncz81xTcGGeaAZjLqxKweykEFANKNNgsAnHB0T7taCHG9fdRYEOD/SRIYtaW75G+iQXUgOODmjMqvs0NfEqIkY7EaMdZRdzg/98+ui7xjAbbfjs4mb+MPl80iuXY8VjpH2Bru1gx2HzvHm9sYkHPMKEOZ4TSZCghWaaaSZEiEkcy8mcwnl8mgu46ICfHtwRHBIVrC1x9w0yDfjoc+ROvpZorPLC0NAEqzaKziqZErsAhRCsLHRdKlwr10P5Ho7K6C2YJnz1EvnqDrd/By74JrTFctYHhi7k6eIzt3785NHwzuOyf7Kk7KW3oaGZjrJH9iQ0qB8cNSz33IemSsUs3EkXFPBLpfDxF+Hbl/XGFh/GjqLeq1yV6Tm3eZDjPqwgrIvA+IT9zF+sCxJ/hbZfAgYrMqej3EYGa2tpcsaScv2YyjMTzsCvirc/ql9myMX8p/VSoVKI1kiRO3Eq78sGpsflvHB+Hpy/BzczC6Xg2mKJNQkqyRLckBGSFfS2LeGIp9nIXriW2S78ul7IVbvbKbILacOO9yxZoplc6PSuoN6t5/XUGhbGTar0Ij4brKBcz4nGRvrg7/2kMmcosZOIeTfLGjDKDBNtPY+VbQnirsN54QDlkV3vDd7ZACvSikGz36F0xSIcTcf2+VG4mMlEx+OcdHobr3Jo4QhGspY1LGEJCoWOho7GEYw8oMKadxeHzpZ2gmXBH28VQjXtQ3Ea1xSs2SgtNMcRIbzrSqvQ9i44xZ1EsVnNUel2hLIHEj45Ce69GX72B9FGua5M5v35V12J0JYIdtJn3XujGLMmUrnpzfwwvPlI1+c0t3b/Wq4ry94XSKbg4akw9XVpW540UYhe33KIE+cjFrCSVfjxcRRHM4ShB41Q0/RuNEZY0Jw16VSiJwpr0o55Lwbf29cr2hPsRmi+GmgBXI5z1zBGP4JqdzCjrU18bA+m1ZYL8uUFEjOzIzjSL4HOTV6+3+RVbNVDVVt835s4Myztuj82ieWH5QnxU27O7fyKgt4xO22wRXsWdXOVzmx4edwVOwhTyfFyyi4S8ZXuSq5rqOXD1sE4aCjX5V6thYfL8zkhmCNZSkHfTkL9oCbZmQ80ydCGX0Gj7cdSorXbVaRceCMK5T6D/HUrULYNmoZyHDKWrwvBqpw0adcXdJBhHnNZyxrKKOtwfF/OciLkMZljt/ncBAnaaSdCBIsDQI+wDRySBCuLKz8L782RNp/fgnWbPEdkn3wl0xJ+HPCLx9PSlTB2lBCH2gaxLRg6YF9vRe9BKfjS+SJ6X7lOJi531ufr85+CkUPg7j/D6g1C2r57OUS2EHafM0XMQl3HC4VGiKzS4PRP9M727Cxuvgfe+q8Q6WK/aNY+WJbmsrv+werwQlxc/AQopphqqqmnnmPZRyvbyyjQRQD937hYSpie0j3pSjsm6UL//XkKvelioInsKS1fa+EHvp/yo/gd2E6EoywhCGFNQpF3RnSulORFAkzyi74o6ycFOXuEL+wj64qTQlKBXFEPQ0yJgok5oku6oQS+1ktt3TxNJhYhRyaznm4ukof4iSD8rGzXHP8zZHg0/hEfth5Hvp7oaG+2O3BtrZ/3B5hdqo4JRyxDki6cGpL2ZYkuAwx1NhwfhK8XSvzTrsLxKnW+UAi7b38y/gBWW4v35udWRjNNptx0064v6CDDRyzET6DjBlShCBDgIxYyicnd3pja2PyX6SzmI7IzhmMYxwQmHrA3socswZq1AL71c6hvlty9VFoqWkOrYPVGudCn0zm/HL8lFgar1nt5eCfAD67cf32XdgeRkAQr7ypGHyFDBdvC58+B3z8F85ZIqxUlxPWUY0Urt7exZqMQqorS3JRlSYlNctT7rAgsRPMaIgnibGIjAxnEfOZxDKMJcoCM1W0Ht5TC1dWiUWqyc+2XIh0anH1HILYLuxbSM8mZJcjpeYC2nq/57ucHycdwbAlDvqlk98KkryuF19uljZoVuYPE5Fyxj6rZjba07go99/XBlkz21dtwYqj3XMv9Ghzjgze2iBfLtklNxPerJr1rLclmmljYXiG2Fp3WOaA5tGZSLEyItQnAm1G4dKM32Y3oz35aBt8tgQvydmHjeoBfk9DsWXFFxf98mfSrUzETMbRMGj0jIxCaaXL2ffeRX7UPfHv2UyRJ4qer5k1HJ0G8x+d8wBw+YA4aCgMDH37mMIswYUayneiF/RSHjMi9M/74Nzj+C2JoualWcgkdRwhVWbGQprhX+dWUXHAtC/IjoiN661H42XdEr3UYuwZNg3ceg598U8T1Rw4R1/apv+vGX8tDKgXvzhKd1+oNvbs+66uF6HVedrvRxLgvTtvK3MjFZTPVKBQNNPTuiuxDlBnwTD/4az/4VBgGGNJairrwzULJ3rt6k0T+vL0PTHZ7ROJFctHZWS96MJXNJ833eKd/lLcHwMOV4um0Oxjpg38NgE+FpFrSz4Abi2H6oD3jxL8tuK64qX9jE6xKuTRkclYNpsc1/xPb5kvsNH7fR9pvacSSIbe35XhZn4Hv1cJLbT2/Rk8wMaGLa5LAxUVD66hhNGfgM+uFQIJcxBLAdbXwVnTnl7s93FAiNxmb8kqZd+fjNBx3KpT3Ia+wgL6TJ/Olt95iwle+0vsLPoDRj6qOeJws4sSoon+31ag0ad7lbdpoo5VWGmnyzrEac/lwb656r+KQq2DNWwrfuV0c3T0Pug49le3A+s2Sh7dyfc75XNelwjWiSn7fWXN0GLsOy4If/J98bQ/TPoDPf19as7Ytgv2TJ8GTd0BRL0TjVPWR9991c1XJQP/1GL50t1XKOHFSJL1k+IMHupLWyvFBqWTVZ8R+4Od18K3NuYvpn1vg4gg8WlGLij8MqbdB5fGh9jUeip1Gs61xdgS+kOdVKPcUUjOh/X7vPxqyhtnZNkAfQ9B3RK8u8kg/PL8fSAMea4Z7mmwa7BjNjp/GpMKfchnt0ykyZPsDvUz6hvvgJ6VigZGVdLvIhGatC8N0MB24txHOCe+ce30+BUwJx5jX5uK4Ck25uLjEbYMKzc/RXkHk761iSdF54tVA1ueHtTCzl298+5owtUpCzzcUjGTY1KmMjdbit0wCRfvzWO3eh4vLHGazljW00EITTQQJEvQyBz/B8d0+72OWESeOhdVBwBwcmmk6oEXxB+6a7yJ++5iQK6Dj05mNCDF0qK4T3ZGuixFnMCDf+/eBcFD0WAdjW3B/xuoNcMZXclVFEEH6a9NgymXw1mM9R+rsKAb2hU9OhDdnQEmhHAstm/NQmovSunej1dAp5OA9wZYb8rUoAfc1SRvGyOrlXJjaanP27OsIt6yhZfRk5uaP4Y+J47DJ4CqLF6PwhyZ4e4DouvYIYg+AFgR3IDir8WLKkct+BAru20ML3rdotOH+Joe4qqbFySPjbXPMVXyQdBhqK0K64rQ9MPVpKXG31xHvKVPJz5szMMAUwXlNRiKhCneyHftV/yQW5y/nzZZKL2DFpVgLcW+FvyN+aI1nFt3daXhdWvZNky3Vxd467kIafCqS/Z+C8O4GAR2cWMoS5jCLAEFKKKGFFmLEKKKY87mQoh7Ol6tYiYWFg4PuqRs1NFKkKOYAGdPvBoccwVpf7ZEnu2u1AqQ9dMbxIvJetAKe/ZfokQrzxDiwqRmu+eK+W/dDFVfc2JVcdcbSNfC7J+D2a3d/OT+9RojW318Xl/rjh1Vh6hqu2tpEyMKihJIDVny5M/h7q+f71OliZcaiGOtW8ev5x1Iz/GvEqotpYQD4DIpUK0rLx3F15iWkmvH9PXSOtDMrSbgRTKMQy/aDvQapZZhQ9AJYE/fMgvcxFieh3kmQUDpxx4+Gje1dmNKuy+qMy0OlioF7YAhrWQryNRGyN9pCpJQSQ9eEA64SkhXZBXITUWEeLh7DvEgTHyQcyrU8PhmwiOjiyj43Ia1ZRS7PszNM4Oy18nefBt8ugil5daxgBTY25ZQTIUIBhYeED9PexjzmYmLRQAPttJPx6pyrWcVj/ImTOZUxjPWMSB2Snvmohk6ECC20kMFG8/6uUIxl7D7eql3HIUewThwPMxfkYnLcTsWJgghc9TkxGHVdOGY4/OGv0NgK4YC4tp9/2Kh3r6K2AT5a2fPfbRt+/6SYv37zC7tXXfT74OpL5UvIt8VSPsfTPNlFGRIkRD759OPQELVufZ10CS2YTUPlAD4+6TzyajcSbGmkrbQvacOgTQ+S5zpoSkd34dnW3idYrgvPtEB+fAiVagVtFFKmD2KoNQjdjYIWAmtK7y50P4IFtDo2Nn4ybvaO3/UuSVBppqk0d4xAJD3X+W3FBnVGpQH/ygjBqTIloibtESuQgYhrisTioN4WQrQz+jSFYqxVxFhL3mcX2JiGb1aL91V2+xPkxhocpIrmUzI9qSshe08mp7HAeRNXS3d8hiPkkU8eE5jEWMYdEjdJewsxYiRIEOtErrJooYW3eQuFYjGLWM0q0pIaiQ8fCo1SyojRToo0Goo+VDKAgftmY3oBhxzBuvZyyeSrqe+aSxgOiMv7Sd4Nr1Jw8VlSzWprl0rW4RzPvY/Glu1reCwLHn9ebDOO66WbnSxRO4KRnM+FvOOdGEKEcHDw4edojumdhe3nuKwA7myUi6ipgd7agu1Ce2EpxeuWY2TSZAwT5ToYqSTJQIDOkwHmHrh+/a0FvlENpdzG1333MNlcQI1t4k+1M8Bog+B1B3UvP6KBT7k0pP24qI4pV4WLodk0ZAxC29n8+gzc0SDaIhfR3V1fvHUQdJsNf2qGl1thSRLqHVG5rU5LmPRACzakZQii1YE+BjzRBHfWQ0ATC5DvFsFZkW5Woge0O3BfIzzfJn5eMc+HLOt9dbwfpicgiax7noJCzWFiwRKKQh+hqTSJdDFledOw6dpObKOVPPKYyQzyyGMow7ZegcPYJVRRxYd80EXc3hkx2nmFl0mT7vKYBAl0dOqpo5Ai/AQIEeQczj2gCfAhRxkK82H6U3DT3fDmf+UO6YQJcPNX4chhW5+TDUOecxj7BgMqc/FF3Qdz28TaE7RUr+fPz1Zw3NheULxvgbGMI5985jGPGFH60Z/xjCfCTlwxDmAMsuDWUrilVqodhuOiBQL4W5owEzHARc+kMRIxUsEwLgqUhu1IZeHLvfyWzIzBpZvktZvpz48SP2ZIahW/C/6QVRTTp+AmLP/pvbvQ/QylBvTR/TRlbJQX3SN2CS4ZRyehNPptw/8p48JV1bA2nQtQnh6Dr6Rgar9cNSvjwtWbYVESojZs9qYcDG95MeQ17i2XStY7MXlsvS2PqTKFDP6oTpzmJ+zAgJDrwnWbYWZC1i3tCrELeLYhGrAkLeRK4VWzXGhW7eSH/4upubgoisMzerw0R4mSTz4LmH+YYPUiJjKZeczF6RiHEWhouLikyXSEQXeGg4OJSZgIoxlDP/pRSd8OPdaBikOOYIE4cz92+75ei8PYEQT8cN7JUqFKpmXaswN2HC1dRzLtZ/Wmj3ly8WtUmGO45ZaTUL1YvVAohjCUIex6WGyvwLUh/V/s9jdw3QBG3gVgjNgri762GC6KyPRgwmeiXXQJT9/2J6KFJfji7ShcijasonrkOBQQdeTi9+mwVMB6E5dtzBEKgBgRFjijOSP6CmP88KrJASyL3TGUGHBm2GJ1Ko2lYrQ7Pmx0XBQ6ClzFdTViTdFd629WXAThFZ2uAOWGiNOnxeCTIXixDR5ohFkJqVTVOTlxeQppyYmxAlgavBeXduCqtET1KCXRPX1MqWI+0dwzwXJdmJ2A99ulCvZ+XPIVlco50qeBuowsq9bOvf+SQ+/QlvExo3ECJxQtIKNSBLu5kGeRJImOToxe9rE4xFFIIWdwFi/yPBkyKO8fgELD6aGyBXRUtAoooIr+e2V99zQOSYJ1GDsP14XXp8ETL0pW43FjxQm/714Yprn1m/Df+eK039YudgrgQLpeMtszGbAN2lqi3Hrrf3j9rXrefO0CAoGD6PB2HdJ13yO28WkSLY0obMzATZj55xEe8XdQe35bB1gSYkxpmLevuJyNj/+Wl75/J4mAwmqPkop3mDCwAAAgAElEQVTkETR1vlig6GtKgPTYPTB1uzotF9ctJ8kyQKEmGpxDATeXwOqkyQttJi5g4OK30zguVDgpliQCvBHVObcb483Nme4rwhlXdE631cHLbeJ+3+pA52SrzjmVDhKT89+YvF6W0nQ2Cm31HPQ3ZrrfDseFn9TBK1F5zRZb1sGvxJstoMnkYsyBahtak5DpaIl6y8NBw2Vdoi+Nznx8SvRo3YWXAzjYJIgfrl5tAxkypEiho3exT9gejmE0a1jDfOZiY+N686A6Gq4Xm9PT8tKkKKD3uxD7CgfRFegw9iQee07E5OGQ5DO+/I7EDD1959YWCcmUTGtGQhAKQCi4exfZsmJ4+tdw/W/ERkEpSCeTZLCxM2nQLUi3gmbhOhn+O30NY05dwNw3jiEYPPAP8WRLLU1L/4jp/Ino5ii65VUR2m18iecxfGfgH/jmXtUcffK22yibOpXyZ+/l9cln0zDsSEb368NP+psct4cDoTXkIt9dfeK64oNaetUFQQ2e6gff3gx/anJR8XZsxyXc1oRqbWRFRX+uSUeYHje5ohCGdpooHGwJCcpOUivSEu6uTPwKXo16Fh3Jba9D50qiUkKEdMTGI+uBpXvarNN68KeaERdyVe5JAcKezcPHSTH4NJRkZM6ISwWrs77P7fguCzNVGoUj/3cCKC3aLcOysTEwGcu4bW/gIQgbm5nMYBYziBJFQ6OMck7jdAYyiBQpGmnAwkchhVsRLw2NC7iQwQzmfabRQjOWl9+6nI+ppaZHktVKK+tYRx92MqNtP4Vy3e43dF9gwoQJ7pw5c/b1ahzGFmiPwelXCmGyOuk6NtfB5RfI9F4Wz/0b7npCHPJrG4VgjR4B3/1fscDYHTiOxBu9PxfcTIIlS2pJ2wakWmDzyxJs6NqgGVByAp8cF+elv51IOHyABoa6Lkv++m2m/+YxRp0Xp/+kDPEm8IUVmlelMQIu8SaTgee+DdZu7uADBFNWw7R4zu3K8b731WHD3umY7ldYloTz59Zib1yPX1MkfQE2lleRURol8Vb69anAUPBopRiFghCrb1TD/HQbIwveI9+/lowLKj2QU9QUbq8NoyHtQZetwgy6wATODUtVzKdBuw0fp4VkmQoGmxJP9Je+XQOas/hFPTzXKoQuu26Lk1BjwyifaK+WpMTbKgLoWoIGJ/uZzl3cDZVmSslbDAiuQ1cwIFhNymsgdoaBSZAgUziJSUze+R1+kOM/vMdMZpAg3qGBsrHJp4BxjGMxixELWIdSyjiTswnR812Vg4PmzSLPZAb/4jXSW0wYgkgxTCwihPkyV5JHL2Ye7UEopT5wXXdCd387JKNyDmXYtlSYdgYbauSkZ21xckxn4IFn4Po7YclKmL0Qbn9QJv/qmuTxsQQsWQU3/g6mz929ddc0+O314kXWt48l69O6EGpfF3KVvQxoJgqXxWuCPPvs4t1b6D5E/cKHmXbHn7BCJk7GlLaLC8lo7nKnFLRVO5B8d9+t6F7Gi1XQR89lASogX8HbA/fteu0rDLegePlH2IEghp2hprgCXBfDcYhsWk+Jssm48GBT7jlKwa8rMpzb53kK/GtJ2yFKtSAjwmvY6H8eyJB0Zd8adH+hMIECTQjQ4iRcmEdHjmBfQ/RY4/1wUV7P5Ark+Z0JnPKMTLMC9/lJaSP6kYzYGIoQcbqWplx0MviUQ0CPE9DbMTHROomkFYq2ZAVv1pzOU+sv4sm6wazZyXPhwY4kSRaziCRJDAzPo0pDoWinnf/wH0yPoAYJUUct/+L1HitSQAe5AhjPBKp6sLfJkjYHl01s7PVt2xc48PsnhwHA2o0wfZ6QkBPGba2NSqXE0+tvr0EiKZmK110hk5PbQ2mhFyVki0krLsxdCtW1srzfb4T7n4GxR8jU5eaNYBryWKWEbLXH4Yqb4eHb4Phxu97G8VlwxUVwxUUaL7wQ4+KLZ5POeB9gBeh+IVj+CsKhOv7971VcfvmYXVvYPsaKl+8HV8PwG9Qs9jHo+DiGDzJJsDPgz3NJtCqCxTro/fb16u41FBiwYThMbZVMxNF+uDLfOzYPMbguxFz4wiuP8cxpn2d91XASlh8rnaKifiO+dAKlhIB+uEXObq22jiKrjf5ke3cKCBPVWxkZXs+s1kEdETQauWiaFEJ2gpqne9Oh3JQW3qsDpKJmKCF+2g58zs8Kw1Mt4puVDaZuc4RkHR+UXENTSbvSVJB2HRxNJ+gkiWOi4WKRwUVnZdNZrG/7BJ8o/g+6b6mn+5Fmcm1sMC9vPhNwCGnwflsRH0bh0b5d26eHMmLEPDc1urT+NDTSpNDQO6JrxGcflrCIzWyiD5VM5thttvcUiiRJ77lbk7I0aXQ0DLYxAnsA4XAF6yDAky/Bxd+FOx+FO/4EF10Dz7/R9TE/f1D8v0JBKC2GBcvgyzeJVmp7KCqAT50ENQ0SiF3TIC1ATYO8iOiyTEOE6LYj0UK6LkWltqhUzNK2xBB9+xfwxAu9s93nn38Ed/7mDDQzALoP9CBKt1D5R+MPR8g3NhCJHLhuzaloM8pLn05GLWY/bmL4IVAIvohLohkWvagYcFwp+M/fx2u7d6EUXJwP91fC14oOTXL1ZhTOXw8nrYFHv/VLhn44jW8/8XP61axjwMaVBJsa0ErKmZ/SmRaD+Qn4QQ1Ue92ZdqJbjdMDuMrhq8VRTgtJREz2ImEhJMsCijUhWEMtONIngvRGWwjQUX4hRztCrkAee10xNNtQm5EvvwZ3VcCChGiyCnRZRsoFUxm4LhQa7RTocXTlksDCdSFBC2cFwtwQOYYwYXR0Cigg4AZ5r+FYdJUmZMQp1/LpY+iktqjsHeoIE8bA9JzWcwTI8dR2FjkmGiVKA/UdFgt11PEiL7CZni8qK1lBS5eRia2RJNljletAw+EK1gGOtRvh7j9DUb4EIIMQml8+JJN+ZcXihv7Ke1BRIrqoVeulIpVKwxevh5fuh7ztBKRef6VkMT77r1wQdiQsHlUgy9Y02LhZqkwZW4hWxqt6aUBBvlTD/vCMGLhub5k7gmu+NYn+Qwbyha9/TCKloQfL8QUjDC1cimpv4JJLztj9hewjDJjyCZa+8gKu46I0RXt9Ia/+qIlAfpqC/lA6wuTkG/phVPwVtMNmbYcSZsTg+lrxmKrQIVFRznuXXIWa+iDHvvg47511KaooxOZ+Q7G96T0D+GebtPP+3g8KtMIOf6JstcL1bEsH6IXc0wd+UCyh0q9GpZL16Qh8lBRj0c45g00ZOH03Ps8X58OpYSGBAQXjAlLNGmTB+nYhekf7RfjemFbYKYeiOe8RiuQTHljFMUPWMDiy0vNa0tjojuMsdTav8QohwiRdnfZ0KRG9HQ2LsFe1K9BhTnw7K3cIwcRkEpN5k397Ane9owIYIoSJ2VF5aqYJvOlAH/6ONuLbvMWpnEYpZV2qYMuS8GRmBTEjj5QyCRstGNrWtg0BggdNjNHhCtYBjunzpGpkdqqo+izJTpy5QP5f0yA5cq3tsHwtKOVimTaW6bBkJfzk99tfjs8Sofrbj8Fpk0VfZW5Bzw0d8sNCnFIpiMc97Zb3uAGV3gRgBlas7Y2tF1xwThkrZo7jjE+kGJy/hBHB17CSy7jyynF88pMDe29BexlVJ/+EQScWEa1tJ1obp72uHbCY+K1fce6D05n8/Vn4h6w8aPP2DqNnPNwsFZ2wJp+pgKFT1aec6ad+hvFvP8fY91+hprw/GcdFxyWiSXVpcwY2pcW9vS99KaecKFHS3r8obVRQ0dHm6WfBzWXw/mCYNVhsOr5RINE1SzI1WJEX6Vf6IOPKnuHcohW7tU1FOpwcgmODuVbhZfkyxNBqS9j44EyUgvWrOefVv3DhnDdI5ZczKjOHob4FKNeH5oZI2hbTnJm00cYwRtBOO//P3nnHyVWV//99bpuyMztbk91N3/ROQggBQi+RIqCCNMVGEQFRLPjjq2JHsYOiIAoCIqiA0jtKDSSBkBDSe9lstk+f287vjzNbUkmZTZYwn31NNlPuPefenXvv5z7P5/k8ORHH0mw8qVFJdZcuKOt3i+uLUJjIJM7kbAYxGBODEGEmMJELuIhaakmSJE26S6heQSUCQZIEzTSxkpU8wN/5M39iExtJkeKuzCI+urGVhTmftA9xp4yGbB2O373zdQzChIs2DUX0HWg7ochCqPea2+Cuf8PC5eC4EsvMEjAU85G+Rf/yFK+8Vc2WFn07u4UdwbLgc+fAYy/10GShUoe6Dg/+Fl5+C/79PLy9WJG66goY0A82Nio9luPAt2+Gn3wFDhlbmP1QWxPmiQePZenSFlpbM4waVUlVVbgwKz9A0AKjOPGXL7Phfz9l7UuvYZXWMvKj11IxZtaBnloRu4H1jmpOXCIUaSgp4O3sWmf79WVXryRjBMgefRKl5eWUJduIh6OEDB0zpI6FnFQmsAuz0ORprHc+Sl3kbURwCbqAaRzGZKZsJUzuRIsLP2+G29qhxGzipNqHEUDWCzAsEGe+8TRl2IxlXMG2c2IQft0fft6ifLRyza0c/eJDnLbkNRaOnIImDIaOaCSbBiuqIbS83N0PMp+3+RQXM4YxrBfr+WTM4dHWgVjCgHyvwqSEzxWDv1thV8bKZ/ExlrOMNawmTZoSSggTxiZHC61IJB4+cRK00spt/AEhNf7ZfAEZ0mzIVlNbsgLfCyClSYdTRlWgOd/uWSNEmMl8MDWzO0KRYH3AMXMq/OoulRYM5NPjmZyKJk0bD1/8HqzdJPnsqf/mo9Nvo3/5ZlY11POHR77E/JWHUVe5mo60TUdi8G4RLICPzIQLToO/P5n30UH1C/zRNTB2hHpc9kmVirzwG8qNffV6aEsAEirLIJGGK38I//h14cxKhRCMGXNweXhr1lAGn/xHBh/cnV8+MGh2lSP5i2mVnruwFE6PqhuadY4yyaw3leP9n9tVdZyG0ivdXAOTgoWZx3gL3sgoR3cAX3ps1DXaqmq545yrSYRKSYZVKycvm8MMhfEkZHxY48P3m5Uha3/dQiYOZ4R1OH+qVXYKO4It4bIGRRh9CVPK5oKU2H4JUQ0aHJ06Q+cNMZtRjC5oi5OjSuDIsBK+P/Oj75NctRI9GqWmeRMIsCybbMZE+j5C6EggqhmkSSMQDGAgAxjItDKo8eG+uLKQCGrw9Yp9S21+2GBiMo7xjGM8gxnCy/wPG5sECXy8vL+Ygduj12DW12lzooS1FO1OOSuTIxlesgLHt/CljpAaQREkSimHMo3xTDjAW1k4FAnWBxwD+sO3LoGf3dHpcK4q+b5/FSxdA+sa4IwZ/+TjR/yMlo4I65sGUFXaxE8vvY6f/+MGmjoGETSbGFIbATcOuadBxsE6EswZIHqcKN3lkL4DnHe44+uDuexjV/PgixMJBOAzZ8Hwbbob1A+CX35TWTQ0t6sIV2U5jBqiUpqbm1Sk68oL99vuKqKIvUbcg89vUi7jZZp6fkOzEmKvdmF+BjKonn2OhAkB1dalc9mvNcITgwvT/PryCnhjoyJ8hmaz2munsa6eqNaOFpXEGttJaDE8IQATQ0JHvtWNDl3PTaG8ppbbcH8HXFqx4/FeTSsCKVHGoZWBRtJehLXpIWTcMmJGnGH6RmKBFnLkCFPY6LEQUKrDgIkTWLhwAYFolJqWBiYum0/T+GrKgq34moYtFfEN6Vlqqd1qHYaAqyrh8+XKU6va6E5FFrHnGM8ENDTmMZcs2byeTwniezZyNjQXXXj4QqAjWZUcxcb0IHQZwvbDPDaggpiZIkrpQaO96kSRYB0E+NjJyvrgjQUqLThjsooS/f1xyOU8jptwG03t5eQcA4GgIx3DMFxOnPIYP7jnx9z61Z/ip6aAf4sy6kSDzAMQOA4iN4K3ANL3Q+Z+EKVgDAD3PaYP/hzTr/oxBHeesjpqKvz0WrjyB6p6saeXlmnC+s29vnuKKKIgeDypyFVt/qwZAsISftOmXMjbPJVyyvhKEG5nfS4Ov8Rx2oMITfKsezrvZk5mSgG6C9Tn4nxt/os8WClZN6qCUqecpKsTESlszUKvcanY3ExLSSVhTZD0lW+YQM1NACVStcLJ+BDT4KnUzgnWurxxaEhAG7AlW8vC+FjSXhhD+Kynjo2Zej5X9xIBq/cukhPOO4+ljzxCsrGRUHk5H334dua2TyP45Vp0I0WZsKgwbTShcwRH7nAd4XwFZBH7BoFgHOMZyziWsoRneJoE8e1MRHXhMy66gAUdUwkbSQSCtFdCW24w1ZpFREBVgQl5X0GRYB0k6FepmiL3xJA6iCdThANxGltrEMLH0F1cTyeRjjKsZhXNHRFuuPNSvncXjBv6I75x4SNMGrEGpMRNvcjipVdQHX6eWEkjhu5iGA0IpxXMKSAsSP0GAicrB8CdYOSQ7irDnnAcmFogDVYRRfQ23s5AYJuIh4vqkZcUkJBKiO0K8KQkJBvI2ssZE3qFcjZzrHU3MjEZzL+CWb/X88i0tvKP6y5lw+eqqB9SztBqi7QbZkVqDItaJyJ9gdQ1SvQ2zDicMLQ//8yoqJqGIlo2qu9gBKXL0ti1RmyoqSJXtTo0uPBG6xHoWoYSIwVoWEJi+xZvt5yAXtt7nhnRujrOvusu5t12Gxtmz6a0qoqvTjmaitIZLBDv0EwT1fRjModQwU7YYhEFhUAwgpEsYTELWbBD649DK+ZgS4tliXH5ZWCAFedQs+qgLjI4iDftww3XhbcWwfrGCG2JcoKBFJlcGOnpSATRcIJ5yw4lawdZuGoER096m9UNA7jil1fwt+/+kkH9t7Ch0WFQ2UMYukfWCeDnwgSsHJHgFnBXgDkavEaVUhQ7r/yoKoeLzlBi+0hYVR92JFR689Rj9uNOKaKIfcAQS2mvesLJX0vafeUPJUTeL0qmGKyt4RXvcH7NFWjCBzR0/zVoPRkq/gHmoXs1jzkP3826r9Ti1YXxhYWUGvgwuGQN7XYlmzJDkHgYlZWUGXVMjAjuS3ebhXa2F/JR5MoSKvp2bnTnYx4RhmEmrHJUX8B52VJMYWBqLmHNJix0SvUQKzKluFKl4woNT8IbWYf1lTHGf+96TrS2Fk+dwImFH7SI3YKBwRmcSSVVPM+z25EsQ3jMrHqJQ8vm0Gb3wxKCDS2f4UcF0t/2VRQDpQchpIQbfgc//TPomsbvH76E8pIWIsE4ApfySAu65vGnJy4FwPV03l09nPJoEsfR+deLR9LcBpYRJ2Bl8aUOaGiaT84O4PkayAbw0yBCIN6/u+/Vn4IfXwNDB6iehp85G+78sfp/EbvG/Cx8uQHOWAfXNSo/mT6DPtTLtLdxdlRFsNo8tdmuVMLrmNbdtMVHCcIjIo4uHQJk0fHRkejCU97X/iZI/GCv9l077bx65Frc+hKkLjACHobuEtKzCOlTG9pATgbIySCeXsVFZYK3skprpeXn1+nITv533Fc+VKfvgmBZAv5YBx+PqkhWVIP+epixeh2jtSEMFoMIEyMoRAHl7d1ocGDWhg4uamjlui05ztiQ4uKmpWRkXzoYPtwwMDiaYziJU4gQ2boJtAAdjWo9wMigxynaMTw40GLQwWHYvlMUI1gHIZatgWdeg3AQTNnKIy8eRSr1XS4/+28MqNrEe2vH8rsHL2Hh2kmoU6wklQmTtSEYcFi+YQDJlE1QByl1fKmhTs8uIPGlhi598JsgcjWI9z9KhFDRqmLEas/wagq+0qgO1BIN/peCl9Pw5zoYeyD1oN4GSN0M9n+BMATPgZJLQBSoTG43YEtVtVeu907EZFsMMOHWWvhJM6y01RFxRhQmBeCrjdDkqYiWBMqEIC1KmGU8haYpItVp5QkeuIvzkd898wiYwxvIsAmuRHig+y45I4BuuMT8doTQqLS2YFHCLyoMjg1Lrm5qJmQK+hlJcn6ADrscfPV3ujAGP+i38z6BPVGhw/XV6nFXG9zcBgGEansiodmDi0r3vg3WtkiTppHNWFh8vSnGCidDmWErl3EJ/02U84vgQr4T3WGf3SIOEI5iJjXUMIc5bKERDY1KKomJMqpEFSMZRYX+4UjfFgnWQYglq+iyQ1j37lJoX8vzrx3C8/P+AloApAt+FkwPNAMQSk+FSSarMal+AbGSdv7y5Nf53Ck/IxzowHZDgI6uOQh8dSEtuQpCnz+wG3sQQ0r4dSuE8xVUACFNVY7d2gq31O56+V6D3wHtXwC/DbQqwIXMX8BfA6W/6PXhpVTu4nd1QMZTxPNLlXBOdMcXd+lLFqdXknAbGROMEAtM2msWMCkIfx+gKvACQv09AIYYCS7ekGCzF8YRJViuzSBrDVd4v8WzQTfp0Zs4LzPfCzK6nnWUR/rRmGmAoIHwJFbKxg3pODJIzqnj/GiUq6KDiekai3iXytgCzMSJZH0TS8tSFWigJVdHVAT4aT+o3osowkVlsNqBJ5KK3HoSjgvDlwp03ZzP27zBbACSbpBXsh8hpmcR+UuWJiAkfJ6Ml/D1aIYQocIMXMQ+o1OTNYLdaHR7kKNIsA5ClMfU9aMyBho2uElof7v7A8JQr9WdDVY5AOGQRkd2MtHSJOecMRM9dAlPvlVBKlvGN865iqCZxPN1NA10axTEboPAzAO0hR8O2BLWOKoVSk/EdNVSpKDwm8F+E2UsdDhou7hS5p4EvxX0mvwLOmh1kPsfuKvBGFbgyW2N+zrgZ83Q6KqqPYD5G8Gog49tExBqsLN8ZeN7rHYsNEoRwDWRWzm/5lN73V5ICNVipQu5V5mWuY5/lrgs9MYx//Uow8USLjj0BXTbxXYVwbJKevA6cwaIPQ9BhghDhaCiIUOLH0caAoSPKTVmiLGcGjkTI2+t4uMzW75JWtqML32LBfFDSLolCCTVwY18r6yWKmPviIkp4Pv94LJyZXo6wFAatUJgMw3M5nVChNDRcWQI8HFxMHtcsgQSV+rkyBUJVhF9EkWCdRBixiTlnr6lFbTIYGhemncEzZ/dvazqxKyr0lhNwNA6OOkIjS+eV0r/OlXefPv34Ce3f4pP3XQE5x17C1NGLmfo0KmIsk+BMfoAbd2HB5aAEdoaZsp7qNfepcEfyet8muX+aOoKqV3IPgqJHwE5kAZoFkR+AMGTdvx5d6ki6T0hhHrN3wD0HsGSEv7QqsTWHt2i7biELzTA2T1SVFLCNzetY41j0k+kERrYvs4vE8czKnA/Uysv3/cJ+QlIfBNEAFsrp3/bRmp/NpsRZ+awpnt4eX2W54DvgG4BBCF0wV4NN4nJvCT+S1ndIEodl4TdTjbgMNmYwsnM2kr3kiPHWjdDixdgWMk6akKNtNplBLQsUSPBjVsuoN2DL++mwfCOMMDcvfTinmApS5V5cV7NFTMyVJlpWtwAAd1XfksSMtLk2EgDUYYXdgIHEFJKNrz+Ou/efz/plhaGHncc4z/5SYKxot38BxFFgrWf4Djw3Nvw9FroXwqfmwY1+3Bi2xUsC/54A3zlRli0Yghm6WCc+Fp1AZT56o7KmQTDASrLoH8F3HsTjN7mujhyKNz5E0ikhmMavyF4cHnA7V8486DjKnDeVX8HaxaU3Q5a6U4Xacst4zrj83jSJiVLmKytYRLP83Pv91xSNrUw8/IaoONakC0oqiKAakh8G6ypO45kGaMVKesJKVXqWRtUmHntBA7KFNOj++TVSSk6fHghpZoGg4r+LbUl/UQSoamLtaV5aFLj3wmdqRXu9kRxjyc0G6QDWgWDDFi/NIGPxtq5FpPO9CmtdHAddROjJhoAYyJYM/ZquHGMJ0mSd5gPJlhmCRMZw0yO3lpUDGjSotm1sLQcnrTwgDKznYCeoSnbn4CW4J6OCGdEob5A0adCwMbealuEgE/2W8jtDVNpc4P5Nj6SgcEtXFM6qKCu8fsb2Y4OhBAEStV5YOF99/H6r36FHgiQrdVZft8vef6JPzD5rzcwo/RYYgdRn74PA4oEaz8gm4Oz7oBXhoEfUefZX7wMd4+G03vJB2pQrSJHx39WIzLxFNLNa3lv4WpsL4gRG0ntwGrGDFPeVFtaVIPmneFgrPTzXZeNb76Jk81SN3UqwbJePHF566FlFsgMEFJkJPcItKyCqjd2qgda3n4rIVzioj8ZCRkZoVS0c4X1S44r+dtONqwNlbLbOXHbCuk/gb8RRFi59ksfvM2gZcF+HYKnb79M4FRI36ksOjo1WH4LBE4AY+jujbuX2ErKtA00VOq0k2ClfNDwENvsXxOPdj+CIpT7COl1TajSgCExnZVIbFvwlx+P5KxPr2fwuARSQvumEJX1oyDybdD27vsmEBzODCZzCAnilBDZqWu6J3XWxg+jvuwF0p4G0sDSc+jCY0HHFKTUqZAwN9O3CFY9w1nBciSyi2jVBNq4ZtB/SSePYo2XZlzA47zwQGpFvwM8271DfONGXvrhD2mYNw+A2kMP5Yhrr2XO73+PfvggGj/dH7tSRwBi7mbeffo/bDy3iXP5JFF289gu4oCjSLD2A259Hl4cCn4KRN7k1iuFz6+GDaPB7CWzjNIInPcReOApjaq6YUwtH8b8JepuekidIleNLapnYW1178yhL2Lt04+z8mvnMTiUwvMFzyfD1H3tF0y57Iu9M2Di54pcaT1YrB8BdxHYr0Dg6B0uFvTeIivKCSEJ6RIfgSBGDUvwpYPes3rTXaVK/91F6oJvHgmR/wP9fS5AuedR1ESoSAwCsJTGSto7XkaLQdlfIHVLvoowBOEvqEcvQwg4vgQeSCjLAVUDqx4mqu1LJ0ZaENQjpP0E4R5pwwwaJ4aTu1X9+r6wpgEayBxCBJg4uZRF/S1SLWlqzGrm/aWe2ckt2KktnHvPl6Di3IKQ0GD+Z1cIa9DPncx7bTaDovOJGEla7Urmth5Owi1D80PoWrdQv69gKEMZxjBWs7qLYAkEZ+qnUB/b93SgJ2GZrb4zoy1lO7E/4WazPHbZZaSamynpp47PzW+/zcNfvozmrw4nc/oApNJf5ZUAACAASURBVOfB5jS055CH9CMT9wmTYwELOIqi9vWDgiLB2g+4+T1wR4PpQj66jR+H9jJ4ZiOc3otZla9+BsIheOBJ1QR64khIZSCThWRaOan/+JreG7+vIdu8hdT1ZzIm6pN1QdckUypSrP3t1TQecRT9J04s/KDuQraznNME+ALcd3ZKsBKyin6sokprxCKDh0mLrKFNVqL1PHT9OHRcCjINWn9AquhT/Eoou3/rfpLbwQc8kO09XhOAAcaknS+mD4DSn+5ys3sLP6+BJ1MqQiXpPomNsGBWDw4b0OA7/cq5fnOOhJtDFz62NJhirWVW5amFmYxWBSXfgtRPwPfQBJz24xqe+aFBR0MGIbIYwRAn3nQnsdHHFWbMPcC3qgQXbpzGWx2jSflBkAJD8yjVJRk/SA6YWeAuJVKCjY9HjoCwdiuF5+OznvVsYD0hQszgSMYxnnWsI0iAkYwqSHrs3Sx8cwu0uOp5pQE/6wcT95+7COtefZVUUxOR/t0um1ZdFauvKMc7rFp9caWAoaXIpjRiZQf+8Ao0BA1s2n8TLWKfUSRYvQwpoTWXzyL0cPcTElwPvF6WD5gmXHURfPE8yNmKbKUzsHI9lEVhcF3vjt/X8O63r6TW8kk63betjiMZXOqy4KbvcfI9DxZ+UGMiOG9u/Zqfj7vsgsQI6xgGuU/jYuFgoeFRK1bSoc1AaD1uu3MvKE8lrbOqT4DeH7y14LwF1mE7n5s+bJu55X2+RVS91wcx0IRnB8MXN8OynOKqR4fgLwO2z7aeGI1yn2XxWPsamp04R4aynFh2NJZewLx36GywDoXci4BL2eSZnPvwSFqWLcPNZqkaMwYjcGAEjKMDcGetxlnrY0Q0l3Yp0KRJzhP4KGuL8gKdg6SERxNwb2Y5FdFXiYgkVYkkwxcKJjmTGH7c8RjB7ZmMh8fTPMk61nW9No85nMKpzGTHNx97g4QHV21Wh16//JWvI//aY4Mgup+kXOmmJnzX7Xru47PpEB9vchWETHWdEELt0IogbEiilUfIYVNG+f6ZZBEFQZFg7QfENkDqkK0L+XxdXRiO3U+tAgxDPQBKwjDpQ1oE6K9asAPljUBKidy4vHcGjVwL2fvATwJhVNQoA8Y4sHZ+ATncXE6bV4slW9FxAEm7rGKi/jJ4W7rSf82L32LOH9ay+d1VRPoFOORTgxhxQjVCSnAWgT0PvPdUdMs6Eazp3b0jRUR5oMnOZFve61urBn8daEN7Z5/sIw4Lw7x61ahYQ9307wzDAwGu6d/LX3h9EIQv7noqgKrRfeMgmxSCT5TCf9MGYzUV+UtJCAq4tqpw4zyWhN/G1zOp+hlEVmAuWsI6PcrL9VNJJx2GvfQbPllSy0mHnY/RoyH0SlawlrVbuX/b2LzAc1zMZwsmYn8lrba9v/DZ+O9FbPzPQpx4FmvKIB685jA+O37/CMgrRo5E03Uc6dAsmkiRxjlxOpRaW98hCAGmhjGmP4R0DAwmM3m/zLGIwqBIsHoZQsAZtXDvKkjXo8qf8qXbJ2xRnkZF7D9YQ8ciFi7b5lWJAGKTp/fOoMZQKH9CpezcxSplZ50GZXfs0vDS8FdSZdWT9gdhO0sJiSRR0YzwfWg9Fyruo3VNlse/8i80LYEVDpBqzvLCj5aQbcsx8aw0pH4BfgPILOrL9xNFnsKXgTFKkSgxFGgG2QEYoA9RoneZ6Z39UUD0Nf1QX8X3+8GvWuDxpPoWDLfg+ioYWiBxe6d9Rn3FXAQG5prVbNQG8Xz5+UhXIII+S2omMl/byKqHv8VlZ93IlmALs5nNMpbi4eLhESOGQGBhkSZFM830pzB3oQlfbfuqP89m478XYsaC6CUW8TfW8IsrNnHav86hX7/er+ipnTqVisMmsHj2s3gxE4mEASV5IWGPL7QAhIZfqlNJOR/lTKrZfVF/jhwLeIflLMPAYDwTGMPYD3TV5QcNQvahXmLTpk2Tc+fOPdDTKDjmrYUrfg1NBiQHg8hC/Rb4x7UfvhQdqFTl/+bAO0tUw+dZM5Xr/P5AfMUSWi6agCE8Mo46h4UtaM0ZjHk1jhnqZcNC3897Ru3Qchy8ler/+nBIfAPsV8FZBbTSLekGKIfQ51n27OuUVryOGXTJxmHx4xoNC4N4juDTD8TQraCyYJASSKMiVKb6LcJqPXI9YHU7i0tHkbB+S/IO/3sI6StbCm8t6HVgTt93O4QiCoKMDxkJ5VrhWtqA6ss4fRUcU3cXSI/gnLk8UP0VpKVhSVspydtzJLQyjjOe4ZIVHivOFuTI0UYrHl4XsaqlDhOTNGnO4VwqKUyYbWkOzl+UYfXn/4ZVHkIzBbWTk8TqM2iLfc4dP5MrLt9FOr2AeCh7P+8+8AA8sgwfH//2U1U6EPKBZAmaQKDxSe18xjIub0+xe3Bx+TcPsYlNZEiTI4dEUk01H+MT1FC7na1HEXsHIcQ8KeUO+zUVz3q9iKyv+pY95UHuCsi2w6BFcF4NfOFSqPoQptMTKbj8Bli2VlUxSgm3/1P5do2p7/3xS0eMIX79vbTeeBlVgSQS2ORXMPSOx9+XXEkJ8SQEAxDY2zt/bScnSWcxJK5T1geg0n+hyyD3MtBCV3UEHopotULmt1QN9Ei3+Xg5AyPgc8j5Ejtts2lBBemOaqJV61CEqiO/nAbY0HkXq+ngaUA2nybMr18I1W/Q2MM/ip/s9vvCV62Y9GEQ+8Ou3eGL2C8IafSK57khYKgJ7bkaKoOraDeqsLUAJSKlPuBLhJRYfo5VYhwLFv2SwNknkSCOgaGiOKjU4Ba2UEE5MWJUUDizwFEWzIzHWS4gEPX46M/WUDnERgg19qr2x2ilvqBj7ggODo3BFvTPTEH/zDTsjoRqDdlpQ9fJe3IuI5sGM37whD0eYy1raGATcTrw8PDxkUg2s5n7uJdjOI7DmI6PzwbWs5rVmJiMZOQeRcmK2DWKAfZexE+b4Z9xSHuw1odUKSw5Au6cCv8+0JM7QPj747B0DdRUQf9K9dtx4Id/yAdZ9gMGnnU+E15tI/Cn+ZTcvYRprzdRPfXwXS4zfzGc/zU46fNw3GfgxttUJWZB4KdU+tBvVVVpQlcEJfFNCF6IOkzz1X55j2t1NrbxHBffVu+5OQlSMPhwgWYKQjFDfU76dJ+9e+5kHbxW1CVXRxEvAZiK6KXv2vNtab8csn8Hbz54i8BtBXcFJH+zlzuniA8KvlwBq+LTcNDR6kqRvlDJd00gMq6qntYMAiKL49m4KM8aH4mPjyd9PClJyzQuHrM4taBRFiHgO+MiDNIkx1+5kaphOXxb4mUFbhoCVS5389eCjbczaGjo6AQI4OOjmSYi44HnKw+JuI1Y3YE2t5Hs1x/BTqX2eIzNbCZFGi//I3sc92nSzGMuHbTzAs/zBI+zmPdYwHwe5F+8y8JCbu6HGr1OsIQQHxFCLBVCrBBCfKu3x+sreC4BNzXDGhsWO0pUagolLE16Sg9xdQN8q1G5T7t9J1Pbq3jqZZ9YeDMx81mmDL6ZweVPUV7qsGwNtHbsv3louk7l+EmUjRi1nRHltli7Ea78IWzaAom0IlvfvgWGnQLPv16Aydgvq5YrolRZOrjvgWwDbx2kbwGidBMjCbh0uj+V5hs+e6567mZ9glGXSeeNxSjpr6oB8xeyrclVAJUmDKCIW17cjgdk1RjZB/PC/N1E5l+Q+3uP8TyQq8FrBvtpZcpZxEGL4yLw06oqEu2fIBUeTaVsIu2GkWkHaXt4moFvWUxY9yoDjj4CGxsXF0fa5DwTxzdxfQNXaqxy0mz02go+x379Sjj/rJEMPiyJbwNSFbggQNMEbbSSo9CNPreGjs4oRmORF/oHDXVoOh60ZdGfX4dx2wJqfrIKuaad9a+9tsdjlFKKg43H9seci4uDw+M8xjzm4OERJkyEKCFCvMYrZOj7+ssPAno1RSiE0IHfAycDG4A5QohHpJTv9ea4BxpLO7Jc/r/lBAMltA8chhSqJLrNhyDq8tXiw2MJqDHguRScUAI/7ZdvqXEQI6TP54LTbuLU6Y+ha+rgX9s4nGtuexbLrD3As9sx/vUMOC40tcG6BvU30gQ0tcDZV8MTf4Sjd5SB99uVkae3CcyJYB21Y3NLGQc88DfnheaBvEBGAho+CWxpkZMBdOERJIMhlM1mICKpHgNta8FJgxWFULlk+JlXQnAydHwRnLfz3MpV6+5qNCOV1sudhyJYDt33XK6KYjnvQOCo999JMgMdl9NN4vItmdBAbgK/gOVqRfRZHBmGI8NVwJlsKpdcvHgjSylFBgAhOHLNk1ywvoz6y87hHzyAh0fOV8eEh6biVdIn7oa5R3uOn+hfKLgo+1vfmskP/OdwshLpS3RDYJUIhC6RSHLYBN7HxHVfcSRHkSTBGtaQ1TLIkIM/ZyPh/zebQINNdMAAgrEYCb8BO7kHNzl5jGAkO+t5IJG00UqSBC4u7bSTJEENtejoSKCBBurZD5qNgxy9rcGaDqyQUq4CEELcD5wFHLQE6+XHnuJv37+RE+wc+D7Nw8bw3NduIlldg4Su+wIhVVSr0lCpsRdSMDcL0/tYU/gcOZIkiRAhwD56+bjL+fo532TMwFfxpYau+QjhMbxuCbddcyrRkvmFmXSBsXoj6AZs2KwkVF0kWIDrwndvkbz4l00ozdFARY7cZYrcyITiHGkJRo3SVZkTwejhMWVMVGlBdzNd2ig/CWRJSw0hDXIyiC5cfKmRESVYCAIkAAjFIDQpnwkUIIQBVh0YI6HiKbDfVI7xuRfBXwu+BzTmTUkzKOuIHN3kSgci6j1vFfA+BEtKiH8HZGvPF+lOSfrKi2uXhqdFHGyoswTPThrIgozH0lWLGdLaxLgpZxI9Td1IHS2P5VH+A4BAoudJedKN4kmDpLRZ57UyTC9sm4mAZVBFGW2BNjR0pFBJSvWNFbTQTGkvt6OxsDiDM2mlhQRJvDWNPHftlUT61SPK1XHoe6rNU83kPbdmCBFiBCNYvJNLrY9PhAhx4hjouLh00EEFSidpUuAO3h9S9DbBGgCs7/F8A7BrscsHGFuWLOWRb3+XbKgUp6QUKSVVa5Zyys+/xkM/u3ersh0dVdHT6KooFsAbmb5DsLK2w61zH2J92TJ8X1JaGuDo2HROih27R9UsW8FdziHDX8N1XYRQqgApBZrwGFK9AHJvQmDfrRLsZJJ1r7xCtqOD/hMnUjV27PumAXeFqWPh+dmKR+j5TZf5fwKWx7LVHdD6sbyGfBBEfgipHytrBFEKMgneGvAWg/MeaJWqn1/0u6q6zhgDgdPB/b1qmEwSFWUKstGrY4C2ijVyBKZ00HCI+zGqRAvD9S66Dnh581EDRBXIvG5DmCoCFTgKotepXoV+PL+jXgVcZR2R+i0QzPtjaep1DNid6EHqZkj/bgdvdDaxMaDk+j3c60UcDBACJod1Jk/oFmpnfbitDe6PH8ImOYAjq5+hNrgBXxpk/RCuNMmrt3B8c7e+gnuKs/kEfxV34m+TQiunnGd4irP5RMHsIXaFCiqpoBI5ejCjTj+dZY8+im5ZSCnxXZcJ559Pef3eRZIOZwab2Uw7bV0aLIHI93hUSjBQZEtDJ0OaLGGCBKmlb2YTPmg44FWEQojLgMsABg8efIBns2946aH/KC1VMKQE20KQKq+mYu1yKtatoHXIyK7PBgFLwOZOgiWhtA+VHPzgoX+QnLwcP24ipEZz3OZp+xViZimHhw/du5Vq/RC4mIa7taBd5IPZqVsgcM8+zbtp8WKeuPJKcokE0vPQdJ0Rp57KsTfcgKbv3Zn67BPh3sdg2ZpulwUpIRSQaCLBjLGvKL2UCKn+ffFLlXBddigtlcyi0m8m+I2KcKVvVfqnyPXgLQNjKgTPh+y9+eBPKWBho5GQMQIyRYIYEMbAJ0sQN3gpRvbubSJDIdCrwNiJyaVWrh4AxhD1O/cSZP6p7BzwUOTKUtE4feCud463GTJ/psvgrSs12APBT4P5wT62iygcvrMFnk9DtW7gYzC/bRrR6gS+7PaOCGg2vlvL8ECsV+YwjGFcwqX8lTtxcTExqaKaMGHSpFjAfE5mVq+MvSMIITj2u99l6PHHs+KppxCaxsjTTmPQkUfu9TqHMowhDCFJAoGWl7srB3kPly00EiTYVWEIOhYWp3I6xoGnBgcFensvbgR6dtobmH+tC1LK24HbQflg9fJ8ehXp5hakbmAKsDu3RAikphNIxrf6bOd9k49yFzY1OKX3Pe52C+vWddA+dBVm1kQXOgiwNJNMq83/Sl7fe4JlTkUJtlt37MGTexTSf4PwRXu1eun7PHfddfiOQ7Smpuu1ZY8/zpBjjqH+pJP2ar0VZXDfTaqCcPEq0HXVcsjSk/Qv28A3zvsN4Kp+fl5bPoLUln/NAlIo8pFDUcmQ8ppK/QKc+eCvyVskkI945Tp3CHFZwe+zX+JzgTuJiXaUJgsedi/l/8WuBNpU38HO9QoLgueCvpuERtqg14M5Adx1ed8rXc3BGAzWEbte3l2SbwodyG8fbE2yaiF2x+7NpYiDHusc+G8aavOdLKqpAqkzv30qh5TNQxM+Ghq2W8mn9Y+gF9KsaxuUEKGaasKoE6+HR5ZMXqNUeIH9+0FoGkOPPZahxx5bkPVpaEzjMDayER+PFlq2el8iyZAhRgwDg8M4nMOZUTQiLSB6m2DNAUYKIYahiNX5wIW9POYBwyHHHc38Z5/L+w2oE4Nu55CaoGXo1hEFH8hKKBcqYPHzflDbR9Lea9a2YVb5kNz66yEdjaS/5yXDXRAaBE6E3D93/L4Wg/RvIXCMaj2yh2hduZJkYyORft0+LkLTMINBlj32GJEpJ3HHv+CluVAagQtOg7NO3Lk1VU/UVMPcf8JlN8B/XlTaqzEDV/GDz17PjPGLUHkMXaX4/C10CUy7nBE6SYdOl8+UdCH3BIha5T4rYiBKgCToI0F6dMha5nmHsjpTz2hjPZZ0eNObxmdCTyJIKzf4zIOQe1IZhQY/odKP7wffhcT1kLkHcEGUK8G7bAHhQ+BkKLl2x6L8ntAqUD5bOmDRbfUg1fPSH+3eDi7iQ4ENjvqmaF2Hh6CfqKAxcyRN/jiGBLcwQItyTkl/hlm9+72JEkXHwMUlQZxWWvHzx2mKFAkSRIn26hx6GzXUEiDAZhp2+pkkSU7iFI7gyKL5aIHRqwRLSukKIa4CnkYdV3+RUi7qzTEPJMadchL1/3iQpfMX4JkhdM9B+D4vX/It7JLIVp8NCTglAtdWwpSQShf2FQwcEKNjvkXFWBcv0X2BNaIesdQ+Ws8LgQpqbmSrSjMEaLUqGmK/DqE9J1idOisp5Xaaq5wt+Oz1sKUVykvV7x/+UQnYr/3s7q0/GIS7fwa2DR1JqPSuRHMXgAx1F+xIHciAXgt+Ot9uRuS3Nf9btuefS3xfYqcaMEMBdDOZX16AuwhIM8uYy+TIf7kl+2VedFQE7oLAg1xsPQjeeWCOhvCn1aMnpAS/SUWktLKtX3feg/hXwHkV5eCugdwMbjtEfwXh83ffed2YCMbYfAUkqEiWA3hgHgahc3dvPUV8KDDEVN/8vFF5FyRwTqSMi2L7qaUDYGBwODN4lmdo3yZilSTJfdzL5Vyx3+bTG7CwqKeeDVtJobshEIQJM43DiuSqF9DriVYp5RPAE709Tl+AEQzyxTv+wD0PPcW/n3yRRLSc9076GI1juqtAwiiFy9WVcEO16iDR11BfX07lA6PJ1b+LGXOQOQ1fd9Glxtn9T963lZuHgbNCpcT8jXRbFweV+Ntbr9JmWn+wDu9u37IbKB8+nEhNDZmWFkLlSmckfY/qUVsYdd4irndOZ/WWI3junc/RmhhAOAgPPAkXn7VnrvqWBdUVQPsI8NcrwtRJjLCVxsk8VjVYxlQ2DO5SVApN5uclyaUkQoOmpWl8z6a0NkjZYInARiWRdYQQ1IpGfhj6Dpv9O4gZkoiMg58F501FsLaF8y4kv69a1QCYR0D0OyrtF/+qErW7i9V7wlQPaSitWPqWPUvRCgGx30H8OrCfAb9DkbPAGVB6E2gf7AhAEYXFABNmReDxBFToyhuw2VP/Pz3y/ssXGhOYyGu8SjttaPmfzgq6LTSymQZqegi+t9DIQhaSIM5ABjGeCYR6xRu/cJBIdIwu/dW271VShUWBmlIWsRWKvQh7Ab6EL2+GRxLQ4CpClffHRgfGBmDOsL6dOclkHH73t5d425lPcFCOKlnFxVNmMWHgkH1bsdcA7Z9SruXuSrpCP/oIlC3AOmUvIExlkll6M5jjd3v1nSJ3O5HA931GHd/KoRdnafJG0BIPUBbpIJ2N8YuH76Mj3Y/mNvjdt+HQ3R+iG7mXVCQIX1XnSU9FjEq+DsGToeMyZbcgTLW93nI6heCtayVGQKKb0L4OpNTxbEH1GINwWQ4oA81U3guyhW5/KUutQwxQ5Kry8W32bxO0fULNSZSp5fwmMEbkex2uBjxw59PVfkeUKlLkZ9Uy/VftnaWCt0VVL2oDQPtwnbClhJyEpnlzmHfrrbSuWEFFfT3TrriCgTNmHOjp9SnYEu5th/vjSn96XAl8qVyRrwOB33MLbbRuZ01gY/NxzmE8qgJyJSt4jmcAgYGOg0OEKB/nHMKED8DMdw9vMJsXeA57J8ajZ3Am0w/e4v5eR7EX4X6GJuBXNXB0GP7cDguyKgUYAqaG4De1fZtcAYRCJt+45ESkPAEplctxQaDXQtk9kLkbso8okqVVKA2Su05Vv+l1eS3TJuj4AlQ8B9ru3d5Wjx3LBY8+yrpXXsGOb2HE9B9jBk2ceBttiWrakzWURxqYOe4BHn3zalxPtezZKwSOgch3IX1z3hHdgNCFEL5MEZbyf6ptdN5TqcJMI5DIpwUla1+HuslQOQKk55FLaKSaXMJlejfBEdrWBuydGifZBO4OokO5J/PeWy7IlYCpUq/Ou0pbpQ3N+1V19jaUqqpRBgEXjKF771el940eZq6EpA+vpmGlA8NNOL4Ewr1wzDW78GxSkYVVHSnstYKZsSEcIZfTvHQpT1x1FbN+/WuGHH104Qf/gMIS8Ply9egLqKOO1m0E4B4+Aq3LrsDD42VewsTqivYECJIkwUIWcDh9l0SPYQxzeZMtbNnuPROT91jEYUwvpgh7AUWC1UuwBJwXUw9HwmpbneAH9hEh++5CCLHjir99gV4HkW+ph98K9mzIPAAE1Ht+cz6lJlW1XctxEPsjWDu8SdgOVkkJI045BeLXQnoDSIPyCFgDN7CxeThZO8rwmnlsbobjpsPAmn3YltDZEDwj30ewdOuUplYFwTMh+7CK3IkSkO04aXj6Bjj+m2AEId0CZgg0U7LscY3qUVUqrSjCdPcR7Nq6/PMEqkGztzUhct5TJqc4qOigoewiRAQozWvgytRz2Z5fl9f9+dDupwffcx+n0b4fhxyeNYNDjU/R7wA2ik36qvXU/R3Q7isKWa5BVIOhFtw3EPoV4IzX4MDtbfDXDmhxwZUeMdqJLV6En/F48pizaW9pYfpj9xKIxXjz5puLBKsP4xiOYylLsLG7PP58fIYzgjIUC0yQIEeOErYu9bYIsJY1fY5gSal8Ff+TgLQsY1z0OGT4ge3M3SWS9azjBZ4nQoThjKCKYteFQqFIsPYDTAGj9tEE/aCFVgHB08CZC94SpQNyl6AMMztdPaUiSxWP776mx50P9n/zYm0LTRMEAz6Dqlexbssw1jYO4RMnw1cuLsA2CGPn0Zv0PapVjl6niJCzCatEMuY0CJVDtl19LNMm8D3BhLOjEL0JEl/Ku7n3JFc9mz5L8FdB20ch+hMwD4HsU5D+E5DusYynCgeko5zkZUb5dWmDwIvn16cBQdCHqf6DxjhFCvHBOh6Cp2ynhZufuZ7q1F8p65QYpF5hfvhVppb8kSoK67y9O5ASvrARHkuqfrkSRRm3+BCX0JCBz22Cx/fRjqvVg89ugnezkPChnI1ERQuVspWWXBrL9BFxm3kfOZ9pzz9EprWVjXPm7LDw4mCFj8+7LGQB88mSYzCDmc4MyigjR5blLEcgGMJQIhwA4dU2KKOMk5nFy7xEAmWnY2HRTht3cxeHMo3hjIB8U+qeRssubp/Yhhw5VrCcNtqoppoX2ur5c7uFicqotIVWU2FXUWq1oglFrCQSN6/LWsB8QoR5m7eYydFMYOKB3aCDBEWCVUTfQOAElU7z83ojoanoDBro/VVUy5mt7AN2B/ZrgK7E8n4jSBNTFxhBj1FDMgyfdCHW/tCm2v/rruKTLhBCiAwTz5LEG8C1O41LTfRAjEjNYJWms2blGyR3urWXQFezpc7CAEsZmnZcDbE/QeIGlAs8dFsldBqAWhD6DGT/ppzc/Ub1mijPC+XDqn9Tbja0nkJXZWf2IcgeC2W3KWIGpLxVVKfuJivCSE1Fz4T0GZ+ezbzA/cwyru7dfboNfAl3tSvNY2csrieyUu29/6ZgYQYm7sPf/eE4NLmq81E/0U6tWEXGNbExEQEdz4GwZZMxTDKhCOFMGjuV+tCQK4BXeJk3mI1NDgm00Mxa1jKRSbzA811ia4sAx3PCAdX/xOngUR6hiSbidCDzJEogyJIlSIhXeBmAeoazghVEiCAQuLj4eExkz1vZFBIdtPNvHu5q0Oz48G5gDrXmx0GqiFvMjJP0gph+gFBXB4huWASIEMHD4zVeoZ7hfVpX9kFBH1cCFfGhgXmkSrXJtnzEJQd4oI/Op8Bk3hF9F/BzkPoDtF4I2cfUOvThoNWhSg1shNDRo9dghXbidF5oaDEVPYLuij3KCVfoVI3UKa0zCZWZlA8bTO2UKeg6kPoN+KvBnAnWiai0YIbuMon8YavXqbSkzED6z/nP6D0+00nETPU7eCaU3Quh80Efqh7WISp1KQTYK4B2IABaiSJUfhs4r0H2ya5NanGeBCSyR2pSCg2BVOne/Ywbm+D/GlUT9W3JVSdSKP/xvQAAIABJREFUKFL0sQ1wZ5uKcu0N5mdVRFoC08zXGSGWkZRR5fpVF8D3IKcHCTpJrJZG8H1CZfvPeuBAI02a2bxGjiw6OgY6NjbrWceTPI6Lk1cxWTg4vMBzNLL5gM33eZ4jTpw0qe1E7hkyuLgECTKPuRzNsdRTT5oUadK4uMzkGAax55YyhcQrvEKWDJH8j+dHCBpx+kfnACru1miXYmk5st6Oq7I76X/PZs9F7DuKEawi+gaEBpEbwJikrAREuUq7iUCeoAgwd6HB8tqg5UhVhQioS6ANGGAMBzkU/Ha1vvBn932+fkpFp/wm1UvQnLZjcXjwAkj8n7qT1CpAmkAGxACMQAflg3zQgqrKz29SFZTOUhXJk+/m901pXpiepCulJ8qVA3vntsq4eh2Dbpph0OU1pg9QkTGAyLWq+XLHV1VuTaA+J9fn152vABR5cuZ3gP0ChD4OgEkIfycExdpRusRrgsw/wJ0L+hAIXbDzVj57iNU23NGu0nW7g5wPt7RB2ocr96K4YagJs9MQEOD4Dufr/+FNDiNOKeGKNBpBEgmTo/90I7qAkn79GT5r/7VcOdDYwAZy5LqE4D0r1zqjQzY2FhYmBjlsFvAOJ7MvQsi9Q5IkjTRioHfNrXOuDg4mJmlSVFJFkiQ6OrM4lSRJsmSIUXbAmyJ7eKxnLSU9jjtTgO2GiQaXk8oNpLRkHlJvxdRymNqOb0G2rS40im7uBUExglVE34EQEPwYlFyTtzZoU73u/BYouUpVIO4Mif/L+z6VqIpDLQpYyovKbVRWB1oYYjfvkbfWDuGugrazIf4NiN8AbZ+Gjst3HGELzILwJSoy57eBUafa2OhVIPrn5zpAzc+aCcGL8lq0DSiilMvbNOigT1PL6FPBnKG0XzJPuIJn5E1Fq1GdLntUCYoolP5azcdPQO5pRXoCZ6hqRL8RvEYUIQuxne5L2iAqul6pss5ECAtN2t2fkg6+0BgU2EYk7zVA+4WQuUvtt+yT0H4x5F7dt79BHu9klY+SuZsZuCYPki7c3aFI1p7inFKwNKjQYLZ7GHVmA9/UfsJosQRHmgwObuDG2P8xLfki+jVHEq2r44ivfnXPB/qAwt+GTHl4W1WnCQQeXpdjugCyvE9kupfQOVeBhpv/6YRE4uRvVGxsSint6s8XIUIV1QecXIHan1qeIHaiVIOA5oNIM6DsaQJGC+DjS5OgltvheuLE8fDIkcXCoo4B+2kLDm4UI1hF9C0IASVfVZqs3IuAAYGTwBy76+VyT6IsCXpeaUNASi0fPA2s6YqE+M0qcqPvhRhbSkh8F5x3VHUebl4atUal3KLf3sH2XKHSct4aVVmoD1IERwjVHsdbr0iQXg3JW1HJLh22uqt0lDFr+LOQe1ZFtKRQ6UHrBJUGNQ8D/zmUna2n9p2ohdiNypfLmQ8d14BM06Vzs84C61A1j+SvwHkZReqsvDgsp8hqPnoFYGpVWNFfQeJapJ9Qmwl0BM9irDhk6+3P/FVFDvXOCEWpInmpn4H1H/alRDWetYnnNHxp4OzmahxglQtBFx5LwCf3sJfwEAt+X6tSki86tfwu9xW+Ef4xR7T9j1CqA+F5zHsmQvYTxxM8fSLnfPFyIjX7PzpzIOBJaM7VIqwgjrARQm514YfuSImL20VYxrFjE7oUKZaxlAQJaqhhGPVdpMbDI0mCAEGC7N0NU5RSyiijLd8iZ9u5qnl6ODgcx/F90sZAQ2M0Y3iPRV3aMIRkaCDNZs+hwy7FQ+ALm3IjA9qO7yp8fJr+P3vnHSdXWe//93PK9JndnS3ZdNJJIY0Ueu+9iqgoKoqFq+gV9Xr1qlfs199F4YodUAFFIIA0pQUCEpKQEEJ6L9v77PQ55zy/P54zs7vZTbJJNskmzGde88pm9pTnnD1zns/5fj/fz5dGKqjgIi4dFOTxWEDRaLSIYwON4xVp0dybrZNEaZIc0KaBHlKVc7m3AEsRHWMmhL/TlTrrD5xmaJqrHNwLGidQhMYH1bGuVKHMqPRmPz28AGi/xe0PmEMxt0IPHqAcfJcrwph9G4StqvxSD0HuTVe35nMrMz8A3nngOVVpqWQWWi9RQnstoExB7SYQOYj8P0UAcyug/dPKjFS6rvPCgPCPIXhrr6FaufW0pH+Lk32VUgl+KdTyoe+B71y1UOvlXZWLeUgJsgGiz6m/w36idut2fvO9n9C69C2yusHaMy5j8U1fJBvcd4Wp6Z5JLzDVB38fdWDWDTkHLtwBtpRcOOR7jOnYgL6tkQ2xEXhnzqFqiB8Li0/yqf3f+FGI2hzcVg81OZhQ9hzVoXfx62mEyKEJgeZGibpDQ2MCE7mRD/eozAPlmP53niSHhUAgcYhSzpVczQ528AaLyLidEcYzgdM584DcyBtp4H7+QLxQHKKgIkMaUcq5iqsZyb7LT7NkWcFy1rMOgeB4JjOTWYecrGTI8DzPUkcdGgIHSSWVNMtmhAxiS0lMqyUnsmTJ9lhXINDR8aLK3CcxmQwpopQzg5lUMeSQjv1YQNFotIhjH74bIPG/4HhQEaB8U2qvmtxz76J6j/tRaa+U+rfjMxBd0JMA7BWaIln5nwvQgYyKLhknQOtVYK9UvxJjIfqgihTtC/oY1Ncy7/8PXRWBWUg/AtYaVZkY/h4kH4HMM4Dp2lrEVIRINigiloe1ShmQauXqXMhONWYnC7GvAAHwXwFljyhPstxKRTz9nwZzTM8x2o3Q+S2M3FKG2BsAn+pHqJeq8xr/JpjTVUROqwRr427nNx9d6+kp1B+kOzq49+ZbaGmPEY8OQXMcJr20gEjdDp7+zq/7FRFzUK7hNvBqAq7fzygWgKnB96vg3xsEqzIn01BWQToSokSHaV5I0skU1wH8WIeU8I1GRa6qDIh1no/mRAkGVlHuaSSki14TOyhB9XxO7kWuJJJXeBkH2cMCoYVmXuc1NrIRL16CBHFw2MAGJJLzuGC/x66h4SdQSFNqaAg0JJISSjiV03qRq2YLHorBawmo1OFDJXBKwOFp8RQN1ONzW+csYym11HAFVx3S6JcXL1dwlVsJGaOMUkw8PCz+jF9It99gNfXUFf4OBgYaGjlyWFiFyOIqVhIiRAcdbGELl3Bpv8hlEX2jqMEq4thA6NtkrRk4djuS7v5RAux3cVvMujolL8ofKqn0TdnX+78fLYoiabuH2iVggFULTSeA/TZdTukboOVM9bs9wd4Jqb+5wv78pKKhiJvsOp68zkpmVLov/QdU1Z/XrVL0qrGln3KjUPnhOWoT1mYlps9rt4Sh1k/8VJ0PYwyEvw7RhyHyw97kSkpVhJBbQb1ewkuhk3k6fAqr9DRZmXWjZTm3kTTgv8k9z+4EK21wGlVFY79JbReWPfsPYq3txKNV6JqGNAwSFUMZuu4dKras2+f6EmU8Ot7jZnYPIoB/cgD+NgLO5BRKRQnjfHGO88ZIijhRyt837UdqLViTUWQDQGLQlpjPu/W30Nj4JcopL+iZgELPPxubN3mDOHFe4gV+w6/4Pb/lNV6lldZeqT8vPt7jPQSiEBXS0AgSZDObSfbwf+sfGmjAxKCEEvTCSyvos46npzShzYaP1cIf25Un2qoM3N4Ad3e00kgjIcKY7itEiDrqqGMv3/sBgkBQRRXjGU85FUSIMIrRxIkXvLt8+DAxXfNURXrzadG8L5aOQZIkBiYGOm+wqM/UaRH9QzGCVcRRj2RzMwu/8x0yLa2c8QXlMhmuEniCblQJh56+UDrK4bwdZMD13toPBG6C5F3utrpHmUzI/h1ldWDs9rskxL8Hpff2cQB/hOQ9ru+XUIJymQFi7rpeFBkSIKpVCyEZU9EnmepGyFxIw123243RmAx2DchG93ykXFG+qSwZnAZIv6hSkHuLAlmrwd7IWu84XvVHETKNBuzwDGGtneWqZBseZBeh8pwFwS9D8l630tFR4vrggQm/G7ZsxdG0nvEAIZBCI9JUS8u4yXucDjSgTIepXnVmNGD+QXqhDTfhM2VBLG5gJzuI0UEpZYxgJPr7pBIrI91Lc7fLRgcc6WcKU9nO9sLn3SfsOupYwGMkSSDQaKWFRdTi4GBiFKJBoHRCDnZBu5VPORoYBbH8/no3efEBgijlGBh00omDgw8fp3Jar+09HoO6nENapNiY1pAIhhjw+xYfn4hohDR1n4mTIE6cHFneYxVDqD7s18M5nMfrLGITGwFJCaVoaIQIuYaq+XsihQibjYWGRoY0IcK0006WbCGFWMT+oUiwijiqIaXk+dtvp2XDemZe0wCOJNGik2iyGTbDwvDulmaTadeGwEGlD/X9twwI/7fy2XK2u9t1UCk9jyvM332Kd7VaueW9t2VthsQ9bj9GTYnXNQMYAeaJYC0HbLdCskTt08lHplyNlkwBwW5tMNLAEOj8lrJ48F2holZaCOxmusxHHSDjbtuCzm8qjVrovyDzT+UKL2PK3DX4RbW+bCeHwRv+Kkxpo8kMFjomgjo9wEqzg7mODqYbvRECAh8G/9Vg71KaK62rInF/MW7aFF77y6Pd45MgHTTHJjF8TN7xiwxd4fn8sqMMKNdVS5048OESmDhAPakNDMYwdt8LDmLkHdh3sZMSSpjNHPzsm4GONqFcg5gNkXwUS6pGzhcGJetY22P57gTLwSZBAh2NRpoQqNRhDotaahnGcHz4cHDIkWUUo9nExkJKT3ltmZRRRoRIv481RYrNbKKddiwsOugggJ8IJWTIoKEVmjx3x1sph825DJ1OV7VtPCvwC0FrpoRKf44mmguE0cFmLWuQwLn2+WyrbyYc9jIksndvtDhxWmghSIByKg4oxejFy7mcx2mcTo4cQYKs4t2CcaruRhENDGzsQuWkQCNNBj9+TMwCoS1i/1E8c0Uc1Whas4aWDRsIVniw0lkQGrqpYWVsEs1QMnz3Pn5ZcNIo8bsXjJOVp5S1TXk09aeqTQtCxRJI/ADST7jEYZzSLFnrlW8UFuwubjWm9N5W9jUU4clCbhWQU7MTGXDCEP6+Sucl/gusOhR5Et3eqGVlfmZzyZ7QIPuGioplngJR6dotRJRlBKY6B+Tcc1Gu7CLSz6hx5F51I2pAbqlqzh19DfRJtOo+HKBD9+ORkrAdAynxkGOboTNRv5ESY3TP4xQBMCbu+9zuA1PPP5dhv/4d2R01pEqiGI6Nv6OdzSefR3zkWIIaZCWM1lXT55hUROu6iPK9eikBlgNnh2CG96CKGI8JWFhsYiMp0rzOa7TThkTpdhaxiI9wEyP2YKQZd+DVhEObbfPRUpO7W6He6nrkmO2HU8ItPEK7K1Tv+eAhEJSgBHBttLnqJ0WLPZhIJA3UEyCARDKUYTTRRJJkYVs2NlmyONi8xyqmMHWfYvdmmniKJ4iTIEWSNBmkm0bz4GUYw7iIi/uM2sRlJ51OmPzDjXpsk6SkSX1mKEP8K0mQwEDHxsaDhzKiPPvqar7yw3foaMvgIJl0gcHHvz4eb1CdlyxZOmgnRJhSSqmnDuEK1qup5iIuOeBqSa/7ApjODIYyjD9xPzlyBcPUnpDE6cQixyxm4+AcNdHYGB3EiZMijYnBUIYd0YrIIsEq4qhGqrUVoWkI0tSv0Zlwbg7dI7GzAqsgQfKCGAE0dUWw9CkqqpJdBO03AFLZJ4R/0L+Ill4CkR+DVgWpv3TZEOhjwdlGV1QrHykyIHxn39uS0m1ubanliKmfc8sh9u8qguT9IFjfpIceq5A+dFQ7IRxVJQjK/DTPHpwEZF9Rywu/u06KQgRMBJU3mLVYpSbtVYBfEcn8+OxdEP9vKP0/vN6ryIpNZIXAEQEsYeBxcmS1AHV6Ne/oszhz32fwgGAGAtz2wO954J7fsuofL5Dy+tl60+cR136E75QpuvhYTLl1eAWUSeUL9PVKGGnClGKmA4kkSZKtbOZpniZHFgsLicTELEzGWbI8zqN8gd7p3NUZiy+0rGNrNkinFSKgZZjtCXJ5sIwWG+b44bQAbBHNePHhxdtL82NiMo/5LGEJOXKFSEneQwsUAYy5/QFTbMZyqwrzy+WRIcMrvMR61nEV1+wxpSWR/IPnqaceGwfL1YYJhBvJsciRo4S+I0wpkUQSJh8f7UqwSVoT0ygp3U4rrdgI/ASIEqVmTZbH7ujEDEKgSiBtwdrnctybXcNVPw6QIImDjYZGM83Y2EQpp4IKJJJ66niNhVzARf3/I++GFppZxlLqqCdOjAxZ0qT61Ffp6FhYJEmyiU1sZztnchbjmXDA+z+USJNmMW+ylCWkSRUIYZgIYcJczCUMZdgRGVuRYBVx9MCJQe5tQFfpMy1I+cSJSMfBcUzSHTorHgkx/Zo43jAEygE0t8JtONhl6t/SvwI5aLvSTa+FlTVBbi1kXlYpsuDnXMH4vrDbDUrzgT4P7GV0CevLofRBMPow7/OcCeIu1dhZeunSTukoF/WdkPoDiO7NpDW6WuHkAB+Evq68tLIrIfcCthBsMsNsNMMYTgeTk8MYlWtAoLmaK5OCVkymwY6rKFM+okUGpF9FwoRQuq7siwCU+G8j6vyCNhqQSCythKxm4giJj9JCT7RDhWBlBZ/77n/Ad/+DektFqoYbXXzyo6XwaAw2ZlVF3zWRA7NiOBbRTBMLeYVGGmigAYHAh68gQs8THQ0NE5MOOmillShdaV0p4WvtK3kvORJTWAS1NBYab6QtZnrjfLuySxMYIICOzhCqaaapQLI0dC7gQqYxnTWsoYUWbBw0t8efje22bZGFiJqyZVDYPWWmSJmklVbWsJpZzO7z+OPE2c42d6uOGyVSHlhp0ggE29nG3fycT3BLj+MGMPqIhuRjc2Hh5WROIU6cIMFCNO71v7YghcQTEmrcuiQ0BLa9ImhoihOszFM06R6XoJ02yihDRydAkK1sJUPmgLRQzTSzgMeQOGTJ0eZGKTW3WjJPZj14CkawHnc/PnxIJC/xIlHKiRJFIukkho5BkP2vBB5IWFg8yQK2uOQ7fx3b2LTSQooUT/EEH+eWA7LxOFgUqwiLODqQfgFaL4LOr0PnHdB6MWQWExoyhBM+9CHijVnSMZOa5RZP3eFn9VNRTH8J4Ibz7XrVFzDyP6B5VH89J6ZIibVSVRMKv0qLJf9P6Zf6A+/Z6t98Og1AD4BxElSsgIpNUN2ojD77gjEW/J90I08xVHuffIViAqUmyoGspYvMdetHiA1YkPyNqgTMPovjZPiHfxgv+4dQp+vsMII8Gzmbt0JnqmVlGujMDwClSMp0eV9116vlIQA3RSGExiX6zXi0MJYWwBYmCCUU1tAZw26Vh4cQ1QaMMHum+oab8MVyuGcofCb6/iFXNnYf6Z4uqMnmSVppxepmYtuduAA9Kv76wrpcgvXpEgzhYGo2QoApHDxalj939nRlH8ZwwoSxsBjGcEYwkiqGMJzhzGAmXrxcxdWMZSy2S6y8+NDcFJsiHVqfhGp3dBIjQ5otbNnj2GN09CJv3aG5+0qS4FEe6fX74VoEAWg46O5bIBHAeYEAoxiNHz9p0oXtN9dkMXw9SaHQlPwz2SoL+80fl+aSrYyrM8uTr739bfeGZSzFwSFAkDQpDIzC8fvxu0UCyg/LcV9qvxSINkjWs4566nmYB3mYh/gTD/AUT/byEDuc2MF2mlzivvt1qyK1CRpoZC1rjsj43ie3niKOath1EP+WqpbLl/bLBHR+Bcxnmf/FL1IxZQprHvkzudgKxp2eYMrl5RilF4PvLLBrlbjac3pX2stpQ4nHG4Fct2iVACKQWah0WfsyITVmK5PO9F/AcasVhUelD83p/Ts+7+Uq/SY76arsyd9M8zYNu7m6d59wtONc6wYJche7dIsdhkHIqkO4N0sHwTveIUxJ+YnYcZQeLU/U8hNsAsRQRTZxm21L6ZI/B/xdbXBKKeVKruYlXsBB4sGDg8NQhjKO8f077iIGBEmSvMEiNrOZLFkC+JnIJGYxm3A34fdmNpElQ4gwSdcnLj95a2iFiTVPKnLkiFDSK4qTFnFiuQj+3dquGFh0OkHV3tK9PHV0LucKFvIKNdQAUEEFZ3NOIRoTJsKNfJhVvMtyltHq6rF0TLJk+y3vFgg66cTeCxHJN5q2XJLlFB5mKBy7hoaBQQsttNBMBV0dH44zPYwycuy0NBx3ZAIYpjtM8xl40LmCK3mRF2ijFYAp80PUvNMBkS6ylsuApkPJbhZTeUPWfAscUCmwMsr2u0IyjwbqC+c6/7fV0cmSw3bTaRZWj8hzlgw6OgkShAkDgg7aeZqnADAxcXCoZRfP8DTX84FefmaHA800kSaN3cs2pwsWOd5mGTOYucdlDhWKBKuIwY/Ma8pbSetW0SSCKq2WW4zwXsD4C9QbcEXi7F3BbEwFdGXVkL+FS9TPWhglMt8FHLf3sQmhbAh8l0F2iSKAnjP71YYnZ7fSll5OafpXePIpQBmDXhEE17OKvLmA4f7sA2wwRnaNRRtGjREHmSyQKwBVUO7QqIeJ2HXupxEwZ7jVje45MMaDHA3WEgpeYcIAz2UQuq3HqI5nMuWUs5a1pEhxHMcxjvHFqqMBQNqBxek4WTKc5CsjovU9ednYPMkCGmkgQaJQXbeDHSzkFeYxn7M5Fy9eOgtRSwgQpI02HDdNZmCS7RbJypLFxOQaru21z+ONEso8O4nlwnhF17Waw2CkYff62oWJcDlXknL1MQECvSJSAsF0ZjCNE2iiiQU8RpzOHrqtvSGvocr3P5RI1rCalawgQZLhjGA+JxGlnHIqaKYJuw/RPdBNFC3ZxU7KiBZE3peG4KEOkzGGpMmNWgcwqDI1TnCf0aKUcz03uFYIcM21Ohcu+BX1dXF8YbCyYGXg1K9KIv4AKZIFr6p8RZ/yCbOIE8fAOKhWPSWU0EQTBgZBQrTR6gr6VWRKkdieRQgSiYFBKy2YmIV0aoYMKZIFw1JVjpOhgfojonMqoZScS8L3dpXkTVYPd5qweCcsYnDDaYbM82DvUJO9PszVCoFKY/XRvLQ/pWHGFCUeTz7oRmgEYKtIkAiDkwJtRP/GKIQSxvfT7kE6kr81Pc29HVGSsgwvt/Nx70Pc7H8ToUvlul4Qs+fJVbfehMKjqgWFpoT53ZtX2zsIaPmKn+5tdhS8Mt7t8wzYG1X1pL1d7Uum1H6MsyD0SUVizZPAnNLnea2kikqqen1exIHjX6lO/sLDhLy1IOBF28/M7EV8yDej17IreYdNbMIi14uIWFgs5k1aaOFarmcI1eQVQ378BAiSIF7Q4ejolFDKBMZTQhkn7sGmwS983FyS4X+bImQcA0PksDDAMflu1Z6jLP2xfNDQGMIQ5jGfRbzWa+LPt7AxMHppsrJk0dDZzjbu5w8kSeAngBcvO9lBHTVcxw1cyMU8xzOkSWHj0EF74fhNNxKbIY2BwZu8yTu8w0VcQjXVTPDCNyvgRy2CkFDTZ4UOP68GvdvXQyCIuBWSROGZP36KHz/8DK8u2oK30mb+h4Mcf0qwsGyaVMF8NUo5J3EyCeJEKGESx7tRpAPDbE7kGZ4mS5YwYZLuK0iAfKPrCCV00onpEjxVmalejTRQzVBybqUj4KYYlc1GBx3UHyGCNYaxBS3Z3iFoopHh9POePkAo9iIsYvDCroP2jyljTWs7ymxTB2Oaq5dqh7InuzUS3k9IC1ILoPPLQAa00aoFjdMC3nMh8tOBPJoCnm38K99snUi51o5PZMhKQZOs4g7fPdwY2g7WDrfXYY6uKkQAA7ShoA1RDZT9H4HMAvVZnvxkXiOueXi47GI0KfFKFQFIaX78TpoPtS1AJ4jSYJmoVKEPJXjX1GfmDCj9M+xuteDEwN4EolS19Hm/exz0E1LCTkvZR4wxe07EuyPhwDdzdxMwm3Fk/mnbQgDXOx9nltmVU0qT5rf8ihZaeqW68lBWCKWczhnMYnYh2uV1vaXaaQckYSKcwHTmMb9fEUiJ5P7OrdzTJmjKBRlh2nwrGuLi0IETgd3RRBPP8jSNNJI3EpVIhlCNDx872VHQU3VHidvA2YuPYd0m/QRxpnICp3E6ncTYxCZSpCgjyj94jhgdCERB6B8mjHBJjxcvH+GjlLrVhZ2ui3tAU4UUxgF8FSTKDkFzU5Xb2UqYEkYx6oCjVXvCRjbwJv9yXdqVZ1sFFdSwi21sw4eXeuoL51KdA7NANMuIkiZFjBgevDhuBWZeZzac4b2E5GnSxIkTInTAFhOgLDxaaSVMiEqqyJBhA+upp44yoqxlLZvZuBeSJQgS5GY+wZBD0Ftxb70IiwSriMGLzu+pli96tdJDOTsVKRIe5TsVul2ZWB4s7F2Q+AVkFwIB8F0PwU/2jAwNFOx6rtvyDs0ySFjkNQ82KWki0Phnyb8j9EqwlqIE+hmQzYAJ+kQVsZJtKpIXeQA6b1O+VUJXUS1rLWgTqNEbeTF0Bmm3+XWp3c4Fna9QZtuq2bOToMuSU4A2SnlhOU1KC+a/SenIhKEYQupPyo3dHS/GdIj85KBMQ98P2JmD/2iADVl1tqM63FkFJ+4hmPN4agfLvH9Ayrxlah5ZyuwJfNXTdb1vYD3/4Ll9EqwKKhjCED7AjWRdZ/ENrMfAYApTmcTxg9bnyMGhhhp2soM0KdaxFhMTD15ixGinDS/egjlo3neqkQYAhlBd0B9lyFBKKddyfa/91FHLIl5jJzvJkHbNTnPY2IUqwzAR5nMSp3LaoD1fe4OKzGXw4CmMfyc7eYa/EyDALnbh1jliYRW0WZVUoqHTQnMPnVb36KKOzvFM5jo+gEDwFotZxbvukpJpTOekPvpO7g02Nq/wEpvYRN5xrIwoKVKkSBY0dG20uxWS2UJPxe5j1NCpopJb+dwh0YkVmz0XcXQi+wrKRiCjxOZOuUoZyjiU/gY8swZmP/oIRRa6q3MPFay11MoqSujenkfHR4ZaOQxbJjFkOwT+TUXRnDpFoDIvqJSg06QqFmUTtJyu/K4CH1fRPK2PCzVuAAAgAElEQVRa2Uxk/sHwXIyPtP2VNr0MDYcyu929SblteIQftOlgv6k8wUiCvRbVCFsqF3dhQPhHkFusCKhW7qYnpaq87PwvKLnn0J6voxiWhM/XQaMFVbq6tGI2fKEeFozsu7oxRgs9TWTzEGRFe49P8pGWvsTa3eHBW2g548HDbE5kNv1oPD4IoKEx0n0BTGYKS1lCM02MYATncQEreJtd7CJCmADBQlTFdtNXpZTgwYtFrodgPY+3WMwK3nb/J8mQ2S0tqbkRtBTvsJwUSaYzg2qGDnik6VBCNbbuyeyHM5yRjGQH2wm7TZ4lskBa8/5lbbTttZJTQ2Md6/gTD+DBQz11hfZDDg4rWUGAADPp/z37PVaxnnWFilIPHrayBYnsYX4bJ06GDNUMpZGGHtWE6vthcDlXHRERfpFgFTH4IC2I/wRyK5W4XWgqLWaMV1ElGQNz6sDv93CkvLQyZhobWZEbTYVoIz+RdlDKJH0HRulPVZsZvVso2/9BcL4E2fcg+TvV71A6SouWy4CzGUp+D+Y0yLpmofjRsaiwVQoIfYbqNyg7lau7NlxFwoRfVWfam1CGrHkfbgeyL4O1QjWhFh71LpynKsgtUVWYelGD1RdWpJWz+ZBud9mIDnUW/CMON/XhZXmyOZINssv7KQ8hJCNFT0f1YQxDoFFGlGaa+iRZUcpxcJhGPytaBzmGMowruKrHZwY6MToIEkIgiBMveGkliJMkSQA/YcKc0O08tNHKS7zIWtagoREm7Cofe2Z1pHtebWxaaOFf/Iu3WUaEEq7i6j063R8N0NC4kIvZwHo2sJ4hZEmQoIlGcuSwXKH9npC3d9DQsciwg+1uFExgYVNNtbuMwdss7UGwHDfq5MHTJ/l5m2W0u/q4fPFCHtvYRpQoBgYllFJHLQLBCEbSTBMpUph4qKKKi7j4sGuv8igSrCIGH1J/hvSjoI0BZ6MyuXTqwTKVnYL/xq7JfpAjn4IXefJmTOfzofv5VNs4Gp0oYREnIQM4aHypLAW+D/a9Ia1CkaPMk4B7HrBA7gJ7GCR/r3okWivBPFlFuGRcCfYJqErDyEJovwmyL6gKSW2oErDbm3AH6e4sq6Jh0oHscpCt9Gr7IzSQmtpHUeTeJzrs3nEoUJ8178FJYJJRQWlmIu3meqTUlQuUsDCklyv0M3osW0aUmcxieSH60hP5SrG5zDus3mSHG2MYW6gMNPHQTBMaWqGHoe2mxi7kkoLlRJIkT7CADtrdJJJOzLV46G5Z0R1dn6koVwvNPMif+AgfPWIT+EAgnyqewlTWsoaFvILpmo7uSzyeF5h39+zK+3XlyFHjph3zqdaneIJzOI9tbGUpS8i4PQ/nMI8AftaxDhuLsYynlhpyfRRvgLKRqKfOTf8KAgQJE6aDdkopYw7zmM4MokSPaJSxSLCKGHxIPexqe3wU7BIkqpIw+EUI3raPDRx51NTEuOuuxSxcuB2PR+fqq4/ns5+dQzDoYWr517hPu5v7OsezxhrFDGM9N1eM4oTIHshVHsn/Q+ml8mTHcIsNW8HeQKGPoebpWQEpE8o0NP4jN+3qQbnEt0L2VUW0ZN5by7V/0Eer32tl4Dnb7ZPYrZmuEwcRAX03I58iCpjidR3NHEnHW1uoe3wpubY4xvzRTDnfC6ef3mfU9N+9N/CYtZA1YjmSHEOc47hev5gy0TvkNZ+TMDF5iRfdOIKBDx8mJgninMhc5jD3MBztkYOBwRVcxbusZCUr0NEppYwQXY7yceIkutlUbGQDGdL48JEg4UZZNHI4eNz0GOS/Eb3tHPIO8FmyvMLLfJibjqp0YV+QSJaxBAODpKtx2pe5afeoUr5AoHtVX8o1NjUw8OOnjlr+ysNkyeDDT4gQOXI8x9MFZ3iBYIvr6dafMed9/C/hMnz4CmnzwYAiwSpi0EBKyapVjZTYMcqiASBLMDAK3RwOThJkh4rSDPLqtbfe2sVllz1ER0cGj0dn5MgIDz20iq1b27jnnksQ+lAmVfyAH5XVKeKjn6MiQnuDlCrFh9ll0QAoL6+E0mLhcysM65QIvrBeB/gvVwQLQzW5BvWzkwAtBGKsOr+iUqX8ZFKlY71nq31mngFrs5uiddO2oe8qnVYRfWKYCVdmE9z1vZeJvbwWM2RC0Iv/oeX84S+bOeN7b+P/YO8+fzo6HzDOBc7d5z7yDZNLiBDsRiiAfntIHQvw4mUu86igkn/yHDYOtdRgY+PHj4kHvdt0V0ctCbdpdD7K1eWm7mC67uZ9udrnCVb+3MaIkSbdLxuKwQwHh7jbqBpUdGpP0by+kD8fuy+fr/SMUo6JyQ62U0FlwW9MIEiRxoNJpauR6687fJYsQfe1lS37pfE6HCjeHYsYFFixopYPfOBRduzoYEjFycyaVssHr9rIyBEW48dHqa7Mgue0QU2uOjsz/PKXS/nmN1/GsiS6LkinLTZsaGXUqAhLl9ayYUMLkyZVqBX0of3fuBCgj1OEzKkFaaLIVdqtdiyF5hPd3zeraJ8+Ui1jTALPWSC/1c1DLA8P2Duh/F/Q+TXlei/blBVD5AddVYIl9yk/suy/1Lh9V4Mx7qDP2bGM++5bwT3feImWxgQIcNozDC+PMTXYweZYCS/8+WWuuPgmKKk4qP1Uo66j7pYFSsNFQRz+fkAtNbzNUuqpx8Fxq+VUNEaScH3AFLlawxo6ibnxDwcLy+3Fp6IvUcoJEKCDdhIkC218gB6RKsONl5i7p9CPQmholFBCO+1Y5ArVkwOBSqrw4CkQ2u7nUFWAisL5dXBI9JNg5f3PHOQ+WzwdCRQJVhFHFJmMxV13Lebb315IJqO+YI3NATZsKefeB/z88D9fpaWxg1BgGKHhvZ/2BwuSyRyf+tTfef75TViW+yTnKJIlBOzaFSMa9bNrV6yLYO0NTpvSojkpRWbMCRD8AsS+pNJ/TpOKXAmfSuElfgTobmRLU7o1TIjcCZ4zQGZdywV7t6iT5WqxJkLZ40qPJS0wJvRcTguC/1r13hOkBGuN0mUZk0GL7HnZYxgdHWl+/vO3uPPO1wCJhkSTEifj0NwoaRgVYFekhK8EJrOyJsXNARh5EPNziBBzmMdSlhQmLonDeCYcEfPHI4HVrOYpFhTE7aAmbtNtfRMkSC01DGc4L/EiSRK9nMsdHKYyjfGMZy1rSJNiKicwlrH8g+dpp4006W69+gRBQkxh2jHTvcCLl3rq9r3gfkIrXJfSfQjoWYGYr1wEVa3Z33SrdIlVhgyjGL3vFQ4zjo2rooijFt///iL+9KeVZLPdms9mTTZvj9LSFuCRJydSXlFGIHo9X/nq4Otxt2NHB9/+9kL+/vf1dHZmsG2JpnV167FtiWlq2LakszPLqFEl+95o6hHouNXVRUnVpzBwC0T+F0ruhsSvwN4CxkTwXgGxz6FSf3nfLluRL6dNpQyFV729V0H6EXB8LtlyG0sHPq9WE0IRqwOBXaPIn70N8vqHwJfAewqg9TRDPYaxvSnFFTc9wdo3d5CzJZoAxxEIoX5OSZ3VMoouNCIVIZ7SK3mpBh4YBqMPom7jROYwjGFsYAMWOcYxnlGMPup1Qf1BjhzP8FQhgpfv5acmc40o5XTQwWL+hYZGHbXkew521xBZWFzKZQQIMIvZPfZxJmfxOotop40kSTS3enMaJzCfkw73IR8SLOnhXdUT+VR0gsQBRIqEa32hzvFs5rCNraRIulEtFdHy4XeJrrLY6I/IPo94N33dYEKRYBVxxNDYmOD55zfh9/e+DHM5g6aWEL/4/cmUl/u58cZDYPp5kGhqSnDJJQ+ydWs7lmVj2w52vptNt3nNtiVSSk49dQQTJpTvfaN2u0uunG6NqS1lz+C9FHzng+eUruWTD7iaKJfUSMet7MuBswPaPwKB2yDwKSj5nYpwpRcojZUWBv8tB1c04HRA+mVIfF854Mu0qnZEg46bVSWoHlQmqeE79908ewDhOJJUKkcgYHZVcR5CpB249ter2FjTieNIlRbUBDgSWwpMIXEME7IWpqkz8qzRBPw+Giy4vx2+fZDFmEMZ9r6JWHXHdrYVDDS77C1Ewf09T6jSpFnIy27KUBZIVl6wDrCG95jDvF77OI4xrGF1IbqjuZWHYxhzVKYHG2lkA+vJkOY4xnIcx7GI1/aot4oQwXJ7PO4P8dHQCBEmSjlhwkxlGscxhjpqeZtltNDCMEZwFufyDssL/THzfxegX4ROInmeZ/gYn+j/STgMKBKsIo4Y6uvj6LogGvUjRFfUZ3fEYhlOO23wVav95S/vsXVrOz6fQSYDjgO63p1kCRxH4jiSsWNLuffey/e90fRfFWHKkysAzQAnrUiW7/ze62hhRW4wXXJlAwLL8qAb1Yjkr5UI3nsGlP4BnLuVYF6rUgJ3JwWpJ4Es+C5XlYP9gbVRkUG7qauKcfcbr7MRxMnAZoh9VrU2GgiLDWlD+jFI/VX5onnOVlE+vQopJU8+uZ5f/nIpra0pKioCfO5zc7n88okDSrTSaYu3FiwktuItyoZVsGrq2ax/eg0+r4ET9OCksuqaNjSwHCwJSEmg1OD42+YQmKvMPiMaLEsP2LAGJSSSZppIk6GSyoNqnbI7Um5KKT8x664xZXeykLesyDfDzuuAusiCqiLcytZeBCtDhof4M7vYWfjMwqKJRp7kCT7Kx4iyjwenQYIcORbyMitYjo5OgAAb2MBoRpMgscf1TDycwPGs5B2yZHv0gewL+XOroTGdGVzAhT1+P4zhDGN4j88mMIF22rGx2c42nuOZfkWy8j5atdQWroHBgiLBKuKIYeTICI4DJSVeotEAzc3JPpezbYcxY/pwZTyCkFLy0EOrSKetQnrTcRx0XcO2HTeCJTEMwemnj+bRR6/H5+vH102qCcCWGp3Sj0ASFil1y5B9zMKe00GUASmVFiTHe+sq+dmvTuLddccRCul8+NodfOJjj2F4XR8lLQjaWPVz6gnouKVr27F/g9CdEPq3fZ0A6PyOK7IvQ5mT9nUTzCm3eOaAbFFGqN4z+lhuP5H4qUqlihIQJqQfh9wbEPkNyxf/jbYdz3Pp2VUsXzOfXbUO3/3uQrxenQsvHJg0c2tLkqdu/jRzk69ThUPqTYdpf/0RgY030ZL2YZYFEKYOOVuRLCHweA2Cnz6FE287FY+ni2SmJIw/hu/EnXTyHM/QRmshujSfk5jBzAHZfgUVBAm5wmiBBw8ZMgWCpbsidMcVs+c/z7u95+EANeziFV5mO1vR0ZnMVDx4Cq138nqhvGarlRZ+xS+ZxYmcx/mDOpqVIcMCHmMjG9DQyGGRIUMlVWxnO7rb6LkvhAlzBmexk53kyFFPXeE8dEc+6iQQePFSQinn9KMaNr9OGerhroIKdHRe4gXibkPyvvYHijR68GC4lZ+DCYOH6hXxvkNZmZ8bb5xGY2OCyZMrKC319lpGCAiHvTz++LojMMI947nnNrFtm2pdIkQ+JagiVpoGVVUBrr12Cu+88xlefvljRKO7V+/tAb6raZdhVuRG8k5uDMtz41iSm0AKD/h791DDGAvBLytbBlHKtp2l3Pq1y1i/ZQThkIaVg1/dP5Kf3d3HvuxW6PhEV8RMCyrz0Pg3XN+rvUC2qKiViLrRtr5vzAoWOGvdFj+t/TsPe4PdAKnHlBmq8Kim4E49ZBZB0/FMGvoNzj99OZeetYivffrnTJ1YQzjs5de/7tuQ80DwzM/+xLzkIpJmKXXZCI1Z5QJ+x9BXEJog157CVx1BC3lBF0RKffz3d8/mW988iybNQ86dJ5IOZCTcPLieHwYMEskL/IM22ggQJEAQL17+xRvUUjMg+6hmKBOZRIAAqiddrmA06nFfeTF0Hn2J0hVhauV1XnOr0iyW8BaLebOg68ofU/eJPk2aN3mDu/gZHXQMyDEdCqxhNQ1uQ+d89aNA0EoLGprbCFn0IikePFzNtfjwcQmX4sGDDx/CpQ8ePHjxIhCYbqfIKOWUUsZ5nH/ABQAzmcXHuYXTOJ0wkUJUbHdIJBYWU5haJFhFFNEdX/jCfL7xjdOJRv1MmFCOx6MpRwJdYBgaXq+OZTm8/vqOIz3UHrj33qWUlfnRNLAs90lZF0gpqagI8PjjH+SRR65n6tT9E9Y0MIovp36HRBIRrZSKFkwS/DZ9KynzQ32vFPgwRJ+EyP/wl7+fQ0eshE1bS1i5OsCa9X521Xp46LFq2tt3i4Cl/qja6mjd0jWaRxGh5K/3MVLdDVhJ9fNejf0EyBQIS1UXHizsbW6Fow25FaoJuNMEdCKJI6WkLBInEu7EcTRuuHQBwaDJrl2xg993fghLn0cYBg4a2ayN0AQp/JwW2cZxw5WFe64jhXdUGeOvn8Wm9bdxxx2n8LlywUdLIOaoHoUa8N1KOKmf/PtoQzvtNNFIgAAJ20t7zo8mdTQ01rB6QPYhEFzIRZzHBYxnAhOZyOVcyRzmuulCp0Cu8rqrKpdM9IUcOZpopI462milkYZCmqov64K8X1SCBH/nyQE5pkOBzWzCQ8+H2LzQ3yLH8UxmFCPRXOKVbx90NddSinoCGMowbuJjXMN1jGNsQZgOUEYZBgYagmqGcBEXM5FJBzXmKFHO5Xxu5bNEiGBg4sffi0iVU875u6UhBwOO4cB0EUcDNE1w3XVTuO66KaTTFkOH/gwpJUIIdF2g6xqpVI6Wlr7Th4cbUkruvnsJCxduQ9c1vF6DdNrCshw0TWCaOr/5zeWcfPKB+Q+9FIcFuUt5w5rFWcY/CRJnuX0yS+1ZeDo1PhPdw4r6CPB/gNVb2tlZuwPDkHhMlbbLWSbbdsC2be3MnFnd7WD2RDgE2G17H6hWBuZcyC1z+yYGgD1tTwI2eC5UYveDhVatSKBTA2RRNMUh//Tt8+bojAcI+FOApDLaAk4zkycPXBm3qQtVT4BEkzZhuwO/kyRoOswLbqT++LMQuuCGe6/hRydEKHfvtKaA28vh1jLocKBCB2NwPXQPKCxyJG0fjzfNY2OyEoGk1EhxadUShvsGTnhmYDCdGUxnRuGzNlrZxlZaaSXbTY8VJYofX6FvQXctVncH8rxObE/tWnaHQLCdbQN2TAMNL15099XdM81xSecUpjCfk1jHWrayhSAhpjGt4LOWh4nJRCYxgYnUUsubvE6j255oNMdxBmdRPsCatBAh5jKPhbyCg4OJiUS60TQ/13BdweZhMKFIsIoYNPB6daJRP01NCQx31slkLDweHb9/cGgbXn55Kw888A7RqJ9YLEsgYGIYGsGgyZAhQcaNi3Lllccf8PY35yAroV0M4wnr5sLnAng1yZ4JlguPbwiW3YjP5zZsFia6YZJNWezc2dGTYHmvgPiPlTpfc4PZjjuR+K/c92DD/wUdn1OtjESJqkzss7WGBuZZEPnhwFg1GKNVJWXqjyqliQ2FCVRD10EIBykdPGaanKWRSGp857aBaxkTOfty5D/fRjcsqpw6dGlh6GA7MHLzq5wXynLq177EV2b17QXm19T7WEepjPJo/WnUZkop0VMAxG0PD9adwrkjOnu1uBxIlBHlej7ICpazguVkyVBBJX78PdKF3VNPeSLVvYpNRydMGBOTZlqwu13j+eW6VyQOVkzlBHaxiwoqaaapoEfz4uUczqcc5c+3O1HdEwSC4QznOm5wzT6dAS1e2B2ncQaNNLKVLYWWUBKH4xgzaKtn3wdf8SKOFgghuOCCsYwaVUIk4sUwNIYNCzN6dMkBR4QGEo4DP/yfNWypMWlLlZFKQzpjYxiCjg5VVXPHHace1D6O97j9z7o9MOc5T6Qf39aZM6vRNI1szoMjg1iWSTZrE436C6nMAjwzwXcdkFS9BZ0EkFCRKe9eDEXz0Kuh7BGI3A0l/wPmmcAk1Kwp3LdPfV62oMtKYiAQ/r6bbsyiCJYOqMpL4cYlbFuCTPLa4vHc8dULmTt3+J63t5+48Pab2DL8PErT9ZR7MwQ9Ek0IFuwaQUwGmZhcxkcuO3obAA8UNmUN4plRhPQkjrBxhI1HTyGkj7XxQ98JoIwyzuFcbuYTVFKFg02OHFmyBVF0XwJqE0/BtykfJZnJbP6D/+RyriyI2buvJ5GM5rhDfkwHijGM4UTmYGFRShkllHAcY/gUn2HSQaby8rqsQwmB4Equ5gIuYjjDqaCC0ziDC7ho0BLbYgSriEGF228/iffea8TvNwkETFKpHF6vwRe/OP9ID41fPgzLV2eRaPj8XoSoJpuM4RFpwmGdn/zkAubNO7hJ/IqwShu12Ioy5NMY5Tpc0w9j9DPPPI4xY8ro7MzS0ZHG49EZNSqCrgumTx/Se4XS+yF9CSTvU3os/w3g/yRo/SRDwgDPfGA+eC9x2+m8qXpHGiPAeyF45vT7+PsNLQiRnyubCBEGex04KRx0rJyN15PDcXQ275zOo89fieeVpZx33li83oG55Xm8Bpfd/1ue/VgSuXYxMhBhU2eQbAgmDPcSFCmc1joYMzifrA8XWmzw46NUDCNOvNAbMEmABuvwPd+XU861XM8KllNPHdVUcyqn8QL/pIP2AlHKC8BtLNfDKUQZUZIkqaQSDx7mMg8ffp7gcSw3EqajEyTEZVxx2I5pfyEQzGM+U5lGC834CVBBxaAlJ32hr1TwYEaRYBUxqDBpUgUPPXQtf/3ratata2by5EpuuGEqI0Yc2bYrnQl48O8wYuw4tq9eDHjw+T0IvYJIKMO0472ce+6Yg96PV4M/DYPP1kOrrULMJTqcF4Rzg/tcnRNOqOKqq47nmWc2MHRoCCkhl7O5/vopjBvXR35RCJdU3XDQY0cLgf869T4c8MyB0Lch8TPQhgO7yKQ97Nzloa55FE++eAkbt40nEISGhjiLF+/izDOPG7DdC02jYu7JrFy3iXBJNdUlUI3S6SUa4gSrDtI59BjARI9K3mrSQ5nouv5iwJwBCnhIJE00sY2tCGAs4wrpru7IR7O6YwxjWcNqatzU2Vzm8ioL2cRGfPjQ0EmQoIxSxjC2sN4JnMDxTGIFK2iikWqGMp0Zg9qmIY98c+QiDj2E3JO74xHAnDlz5LJly470MIooohc2boObvg5l4SyrXn2aeHszQmhYtsTv03n+qYuZPXs/mjfvA7U5+GcC2iyYH4D5ftD7+aBp2w6vvrqdZ5/diK4LLrtsIqedNuqwuJkfaljpNDVLlpBLJqmeNYvQkCEq8mbvBK2MPz+4gV/+chnlFT0n2Pr6Tv7zP8/gqqsOXB/XFzp27uTRG25A03W8JSVI2ybR2Mio00/norvuGtB9Ha34eQv8sQMCQgn6YzZM8ML9w8A3AEGsJbzFct4mr6ASCE7iZGYy64C2Z2GxindZw2osLMYxnhOZgx//wQ+2iGMOQoi3pZR9humLEawiiugHqivdom7hYfrZV9C8aysdTXVknRA33jCB2bPDA7q/YeaBeyPpusY554zhnHMOPqI2mNC4ejXPfv7ztO/YQaajA03Xmfnxj3Pej36EMJSB6PGTR5OzVhUqUUG1zAHB5Mn9aLK9nygZOZJLf/lLXvv+9+nYtg2haUy8/HJOueOOAd/X0YovRGGyB/7WCZ0O3FQC10cGhly10spy3iZAoODgbWPzFm8ylnFE2P/It4HBLGb36kdYRBH7iyLBKqKIfiAchA9eCg88AdESg8qRE9AjE9A1uHUP9lRFDBwcy+L522+ncfVqnGwWzTCwczmW3H03umlyzp13AnDiiUM59dRRLFq0nWDQg5SQSGS57LKJTJx4aNqZVM+cyfWPPEK6rQ3D58MMHKOmVgcIiYrIvpWEdgdsCacFIDwANQ+72IEjbTrve53O+xZBNkfwA/PQbzuJGu8uIkw5+J0UUcQBokiwiiiin7jtQxAtgT8+CQ3NcOJUuP2jMHrgitOK2AMa3n2Xju3bcXI5DJ8S78QzBm25AC/f8wATPv9Rtg6to17UceFPSpn1zAxee7oRXRdceeUkLrpo/CFNkQoh8Ef34aHxPsVXG+DnrV1e/zWd8HIClo2FMQfZllLHIPbB+8g+vRrpdlPIfOtxjMeWwGvnF2e4Io4oipdfEUX0E7oON12h3lIOjKVTEf2DY1lkEwmEEFiOYF1riKyjQiCpjgSnjvwplz42mblXRmj3tCGvhu9cfSkjGXxNwg8ENW/+mff+fDeJ5jZGn3EmUz74bfzlg98GImbB3a1K6J6Xf0ugzYEv1sFTB+n96l3WRubp1YiAieZWvkrHwVpZQ+Ivb8FHph7cDooo4iBQ9MEqoogDQJFcHV5UnXACpt+PY9ts7QgUyBVINCQJ28/vPtCJFdMJEERH5w1e75cD92DHmofv4OlPf5otC1fRtqWOt3/7IE98eD7p9rojPbR94p8JZT3b/Uk+75D2eurgt7/r2VfQ0RGahqJuEqEJdKmx7dkXD34HRRRxECgSrCKOaUgJT8Tgyh0wfwvcWgvvDVyHjiIOE0y/n3N/+EMcB7K5fLJJEiRBI1W0EsXKwqL74oBqC9JOG1myR27QA4BcopkXv3E3bduzxGpyNG1Ik26Hjpo21v7lzsMyhnoLduZ6mt/2F3khe1+rDkT6xF9WhiY0PDkdLe2gZSRe24MQGsGKgS9qKKKI/UGRYBVxTON3bfClOliWgjYblqTg03WwIXOkR1bE/mLq9ddz4e/+SBYvQeKESLCLkfyTCwohxY4m1cbEwcbAxDjKVRDv/vEXdDZk0b0aukfD8Ggk23Kk2212vvnqId13TQ4+XgNX7IBrd8K1u/b/4eT8IPiF0l9J9+24/14zAIW30268EceySHfEsBNpnESaVHs7SMmJt9568DsoooiDwNF99ymiiL1gbRpub1C9/XQg5igfnmod7m+HH/RhbF7E4MaJN1zJojs20bGrlhwmaeFW7EkQGsy+IoCDQ5IkJzK30NB2sMGxLHKpFJ5QaK/i+80vLkPTRL4rMQjQPRrJVovAIYzQWBI+VwcNFlTpkHRUFeDJWzpXjjcAACAASURBVGG2Dz5Wqoxv2x0YY0JkD6fZq8FdQ+Df6inEEgUwxoCfVPe9zv6gcdUqApWVdNbWIm0bKQRC0wgNHUrZmGPLpqSIow9FglXEMYlmS6UFU1Jd5DaqPNwHNNrwXjGCdVRCCMF991/DhRf+CTsfFnEx4UyToXMd0qSZzkxO5BC06DlIOJbF8t//nlUPPkgumaRk5EhO/spXGHVq3z0st0ZG8epn/4v2cCVjV/+LqYufxezsRErJxMtvOWTjfDulUoNVBmQkvJOCFJADVqbgyykI6DDabTv5yVL17osr3hKFOX74Rev/Z+/Mw6soz/99vzNnPyc5yclOEkhACKsgqyiKoEUUxX2ptvhttW6tS23VurT1V7XV1q3WipaqXdyrRVHEjbrgxq5sARIgJGRfz77NzPv7Y0IgJey7Pfd15YKcM2fmnTmTmc887/N8HnOdp7lgevqeG+fuiiVPPUWsvR2bxwNSYmgaqsOBw+ulafVqCsccuAbfKVLsLSmBleJbhZTwWQS+vwU2d6bqJDGfmi2YNwsJFKbO/KOWU0/ty9dfX8uVV85h9epmPB4rN900jptvHUdcRHHixI79cA+zRxbPnMnXf/sb7uxs7OnpRNvaeO+nP2X6X/9K3rHHdlv22Y8X8+T06zCSCSxGjJohY1k54Vwu/O1VFA8qpHji5QdtnG36Nu1anYAOtv3u3/qvDoqAflaY2Q59bTB5Jx1YRjjh2UL4IAR/aIVXguZnp6fBLT4z0rW36Mkk9UuWIBQFq2Nb3x0tHifc0tJl55EixeEidZtJ8a3i2Q74dRPU6t1fl5hCS8HMAZmxjy7pKY4Mhg7NY+HCH+3wunMXwiop4csI1Gpm5GWs05wyPlQko1FWvfQS7pwcVKtpWmDzeEhGIix/7jmmPvpo17J15Wt5sE3BLRMQaEMaEgdB2gr7Uj7pMgbGG1k/dy79p05FsRz4y/gge2e+lDSP187y2zs0+MaAXio8196zwNqUgH8HYFkMvoxCscWMjGkSXguYkeW7c/Z+jOHGRqxuN6K1FWkYnZWEZi9IqWnkDE6ZjKY4vKQEVopvDe06/KUdGvVdLzfdA+NTZtv/U7RqcE09VCfNG7sqzEbETxaYzbQPBbH2dqSuo1qtSCkJNTTQUVWFnkjQvmkT+cOHM/yKKxBC8PGHn5DscwLuRBTp9aLH4iSjESyhMDXHTyLyr8f5+Fe/ovrTTzntwQcPuIlqiQ3OSzMFUGwX1YNhQBiQMMy/uzl+KHNAL4vp1L4wAjfWm/lXDUkISogaMNwBVmHmd70dhJt8e+/sbvd6sbpcZJSU4N+8uet1RVE45owzUNQjM/8uxf8OKYGV4lvD+rg5FbgrfTXIBn/pdahGlOJI4bE22JyE/M4rnpSwLgGz2uHnh6ia35WdjcXlQovFiAeDtFVUoFitCEXB4fXy5WOP0VxeTuGYMSQq1yP7nmTmtgsFxWaFqEA6HGQkYzgyMrCnp1P10Uc0rVy5w/TigeAX2WZC+3e3QIc0/7Z60loSU0A5JFxWZ0a/LAKu8MLzHVCRNEVVHHMdSd38Lo6xbYsgdhj7ILDS0iibPp3y11+nYNQokpEIRjKJlJKxP/7x/ux6ihQHhJRNQ4pvDT7VnP7b+tTw38/0Avi4z84rno406uuDLFiwmfLyZuS+mBClAEwx9V4Isrf73oWALBXeDh26cag2G2Ovv55IWxvtGzciFAVD1xGKgjMri8DmzSyZOZMFDzxAYO6b9FqxCH9ahjlVp2loViuGqjJ+7SJzHxQFQ9NoWrXqoIxXETA1DX6ZAw6xzYm9J3TAL82KXQPwKvBoGyyOmdW7MbZZNCSAygR06KbwcimQt4+P+uN/9jMGX3ghiXAYqes4MjOZfP/9FIxMNWpOcfhJRbBSfGs4xgaD7aZ/T53e/WlbAKe7IHtXd4kjBMOQPPzwl7z66mpUVWAYkiFDcnjkkdPJzHQe7uEdlQgkkeYmwrW1GEkNV3YW9sJihHU/m+HtJYMuvBBHVhavX3opKAquzEzSi4tpXrUKoSgIKfHk5eHKzua0p37D/Jvup7ZsOKg2JGHOfu8F+jVUbdsviwVHZuZBHfNNWfB5BN4Nm3lsO5P6CqbQqk6aU4QJwxRTKtsedrZ+Vses5O1nhV/ngm0fZzgtdjsT7riDsTfeSDwQwJ2Tc1By0lKk2BdSZ2KKbw1CwMN58CsF/u2HRsO8oFuAczzw8lHSlHnevApefnkleXkeVFVBSsnKlU3cf/8CHnpoyq4/bLShh1+luvIdVqwSfLzwePqWTaawMI0tW4L065fJpEmluFxHgdI8QAgBw9Ys5gPpJjMaQygCf20toYTBtYOLgEMnWoUQ9J08mSEXXUT9smW4srOJBwIYmoZQFCxOJ4lQiEQgQLZN5ScLXiXRtIZ4ZhbJuW9g1xLIzqbSsfZ27Onp9Dn55IM6ZlXA671Nq4ar62B5p8WJ9l/LSUyRlZCmb1aiU01tnbL/bw1lYIq3sw+A4ajN7cbm3kkJ434gkbTQTBWbUFAppS8+Uk29U+wZ4kiaehg9erRcsmTJ4R5Gim8BTRqEdciygFs5MJ47h4oZM2ZTVdWB17utzNwwJM3NYebPn0Fa2k4q5Yw2aL+cLTWVNDQKnA4dRTH49R9OZv7ngyktzUQIyM318Mwz08nP9xyiPTq8RNva+MuFl/DiVb+kJSsfQygo0iBncwWPeoKMv+zSA7o9KSWh+nqEouDOy+sxAb1p9Wre+tGPkLoOQtC0ejWKqmLzeEiEQl2eTq7sbC6bO5fcoUNpq6xk/p130lFVBUKQXlTEqb/9LdllZQd0/LviyTa4tRFcAvyGWZm7FQGkKabIOtYBFTGoN3a+LgtmJeerRVB4hOr9L+Ofsqz+E0SmE8XrRCA4gQkM48DnvKU4OhFCLJVS9mi6l8rBSvGtJNcCpXYz3+poElcAbW1R/P4YDQ0hYjEzTiCEmUsUj+8khV9vgvaLiQU/Y1OVjq4bhKNptHXYueGHC1CUJFarSn5+Gs3NYf74x68O4R4dXto3bcIdDXHDKw/z/bf+yvRPXuf/3nyaq/7xAIEliw7otlorKvj7pEn8qayMR4qLedDnY+Gf/7zDcrlDhnDOc8/RZ+JEHBkZOLxeXDk5JIJBLHY7qt2OYrXiyMhg/h13IA2DzH79GPrd7+L0+UBKMkpKuuweDhWjHFDQmetoFeYNxNb5Y+/8O9MlBDSz+nBXo9Mwo2J3NR3sUe8bHz31B+afegX+i54lMGUmiXvnY49b+ILPCXEIk/dSHLXs1xShEOIPwNmYU+0bgB9IKTs637sDuBIzQnyjlPK9/RxrihTfej79tIo1a5ppbAxjtZrPP6WlmbjdVkpLM8jK6mE6S2oQuB6SXxOOOgGBEBrIAMGQnexMncJ8P8Ggj+xsF9nZLubP34SU8oCX9x8oIpEk0WgSn8+532N05+YiNQ1F1ynbXN71ejAeI6OkZD9Huo14MMirF11E88qVpiIWgnggwHs33giGwbgbbui2fHZZGd/5/e8BqF+2jBfPOgtD10nGYggh8OTnk15cTKipibYNG6j6+GOWPPUUjvR0nD4f1QsWUL9kCee/8ALpRUUHbD92xXFO88ElXzcfXNbFIdw5CVJsMaNa/e1mZOrlACS07lGunpgdMCt79zUP60CTjEb510UXUbnoE2Q/L4ZNRVEE4dnLEBYV6x2TqGULZQw83ENNcYSzvxGsD4ChUspjgfXAHQBCiMHApcAQYCrwpBDiKKndSpHi8BAIxLnjjv9QXJyO12tOA0oJ69e3Eo/r/OpXE3sWG8nFoFeDkoHdtjXCZVqqCmGgKAaBoAOHw3yeMgyJ1Xpk/jmGwwnuuedjJkx4ltNPf54LL3yVpUvr9mud3uJiik88kWB9PYamIaUk1tGBxWZj4Hnn7fRzQR3mBGBmG3zcmeC9KzZ/+ilt69eDECiqitMqyEuDLKfBwnvuxEjuXGoUjBxJ2Tnn4C0uxtevHwXHHYfvmGO63tdiMb5+7jnc2dnYPB5UqxVPXh7JSISVL72018dkX7EJ+GM+OFUzQlVkMysAxzjMisPXi+HjUhjmMN3gbcqubzJb87hW7mUT6YNF+8aNPHPCCVS++y7SH4OKNohqGLqGkWYlPGc5RBKoqfTlFHvAfp0lUsr3t/v1K+DCzv+fA7wspYwDm4QQlcBY4Mv92V6KFN9mFi+uJZnU8fk8jBiRT0tLBL8/TjyucdllQxk6NLfnDxqNphJTeuF2teD1JvD7bdjtksL8IO9/fAyBkIcBA11IKWlujnDJJUOOyOjVqaf+g8WLa83dUQR1dQF+8pN3eOmlCykp2Xf7/cn3388Xf/gDlfPmYRgGGSUlnHzXXXiLi3tcvioBV9eb5rVb+ywPspvGpJ5OxdBaUcHyZ5+lccUKMktLceXkoMfjoKpk2DUy7Z0JSFYIJ0L4bzyFzD8vAKVnyTH4wgupXbSItPz8LlfyaFsb6b16YXE6kVKi2rpXPVrdbppWruz2mqFpVH/2GdWffYbd66X/mWfi69dvn4/dDuO0w9zesDxqtp4a7tjRrHVTsjOpXe6Y3L49Gqa9ypGAFo8z9/rrad+wARQFRYChGcgNrYhBORh6EqELREij2NXzeZMixfYcSBn+Q+CVzv8XYgqurWzpfC1FihQ7QdcNolGNzZs7UBRBVpaLvDwPdXXBnSe2Ay3tvVBDMWIJF77Mfgw8ppq6hgThsGDxikE8/8ZZ9Orlor09hpSS447L5/rrj7wmuD/96bssXFjb9buuS+rrwySTBv/+dzm33DJ+n9dtc7s55Z57OPH229GiURyZmbsUmPe1QEDvbky6KmYaZ17rg5Z165jzwx+iaxqO9HTqly0j1tEBioIqDTLsBlJuazcDYFv/JeHXn8B90Y09brN00iQGnnsu6+fMMadvFQV7ejqnPvAAntzcrsR3oaoYySSKxUIiHMbXv3/XOpKRCO/ccAMNy5ah2mxIw2DF889zyj330P+MM/b5+P03NgHjdtENQQGKLNCggyp3bv7rEFBiNSNeh5vahQuJtrWZ1Zw2G3o8jqKBISQyFEe6bFizMjg96/wjttdliiOL3QosIcSHQH4Pb90lpXyzc5m7MB9GXtjbAQghrgauBujdu/fefjxFiqMCQ9Oo+uQTNn74IVank/7TplEwcmTXTV5KydKl9Wza1I4QAlUVVFV1UFqagcWicNJJPf9tvPXWOh66bxH3nKXSP38169LTyTu2lJI+EUKJYRSNmMUVN7hZs6aZ6mo/RUXpDB2ae8RFr6SUPP30UsBMX9r2OrS2RqmsbDsg27E6nVidu7ZlCOrwTQzyOiMrMWlGtJo1+HWzGcHKeuppDF03hQ9gcThQrFaCDQ2o4XY0w8xRMiREEjAgT2BVoeO1nQssoSicfPfdDLn4YppWrcLh9VJ84old4x180UUsevxxws3N6Mkk0jBQVBWL3U5m374oFguf3ncf7Rs2oFitpBcVkVlaih6Ps+C3v6Vk4kSsrkPTI+pUN7wRhJEWaNZhY8JsqwOm+LJifs+lFngo/8jIv4r5/UgpcWVlEW5pMQcY1xFSQnUQe1Ym5//+UUrUvod7qCmOEnYrsKSUp+3qfSHE/wFnAafKbZ4PtcD2MdSiztd6Wv9fgL+AadOw+yGnSHF0IQ2DD++4g6r//AfVZsPQddbNmcOY66/nuB/+EIDy8hZef30NOTkuamoCSAlWq2D9+lbuv/9Uysp27OfS1BTmxd+9zB8zXsH1RQyrW1DqbKS5PErbVbfi63UNKKY30JAhuQwZspMpxoONYcAnr8D8f0KgBQaMhnNugmLTXmBpFJ7YkiS6kwpJKWHw4F13A47HNZYtq2fjxnby8jxMmNC7K+dsb1E6b/YSs2/h1zEz/0rprOR8pBXOXfw1fb3ebp+zp6WRUVJCH08B9SvXkDDM5fvlCMaVqihCJ9TWzq6+BSEE2WVlPVovpBcWEmpsRE8mzWOKWc0XrK3l43vuIdreTjIUwkgmMZJJ2iorAfD17Us8GKR5zRp6je6xmvyAc7zT7GX4RtBshzPADo2aaZniEhABTnfDvTmQcYSkM+UOHYoAvCUlxAMBkBI9kUBqGu40H+f99R/0PeXUwz3MFEcR+1tFOBW4DZgopYxs99Yc4EUhxCNAL6A/cGDroVOkOEqoXbSIqo8+wlNQ0BU50pNJljz9NAPOOgt3bi6ffFJFZWUbwaCZCC2lJJGQuFwq/fv3bGz41Reb+YnjNSzCoIMMOsIZiJCBu66dr305TL7xwBsv7hNvPQnvPwtpmeDNhsrl8NiVcPuLLE7rzfX1YBEWhFVBJnSk7B7FEgK++92hPa66psbPAw98xquvriYa1UhPt1NQ4CEnx82PfzyGrCwXI0bkdxmrapqB3x8jPd2+00R/twInu2BBxDTLTErThiAO9LGa04Y1OYXktWwmfbucKD0ex+H18p1/vUT8kkJCCbDbFDxWAwUNJHgtGlQsg/573spFSknr+vXMv/tuFIsFxWJBj8fNVjmGQaC2Flt6OvH2dhS73czfUhQwDNo3biSzpASkxLKbyN2BRAi4MxvOTTPb5bgFTHKbgrBJM4/j3vYePNhklpYy6IILWPOvf5HRty8xv59EIEDByJGc//zzODL2PQcwxf8m+/vs8ARgBz7ovHF8JaW8Vkq5WgjxKrAGc+rwx1LKXfXgTfEtRkqJphlHbOXawaCjqormNWvIGTyYjfPnY2gakdZWQg0NSMPomlpqXLGCvqedxqZN7QSDSVTVbO4LYBgGkUiSr76qYdq0ATtsw9OxCa8IERHbWqVIoaBJlfzaBcD3D8m+7pJIED56ATJywdLpiuTNhvZG+OhFHp/wCxwCMmwKBVMHUTdnFYjOliqd8ezzzhtIVtaOU1t+f4wrr5xDZWUb8biO02klGNeJRgzWfNPE4ivnUFSQRlqajfvum0Rzc4SZM5cQCiVwuaxcddVILr982A7TpX5/jCkbWlgdt/N1r2w0KUCYvQx7WcxIVu1FVzL4Dz/DabdhdTrREwkira2Mu/FGLNn5bBrzPXovex6rss3vPKRbcfbqBTNvhF++Dpl5uz184eZm3rvlFmrL19FWXYMiDbMqr3PMQgikrpvmpIDFZiORTJrTWoqCkUgQbGggo3dvcgYN2ttvb78QAoY4zJ/tyT1CIlY9ceLtt1M4dixr33wTI5mk/7Rp9Jsy5ZD7jaX4drC/VYTH7OK9+4H792f9KY5uIpEE55zzCp98UoWuG2RkOHjwwdO46qpRh3toB41kLMZrF19M1UcfIQ0DLZHYlpSsKFhdLoSq0trRgcXp7IoqbE1A376oXQiBEJKVK5t73NaIY3OoEwLdkKid81qGYYZ/inodIdGrjkZAbhNXW7G7oLqcdXHI6dTdIx45Dz2SpOnjSqRuYLUIpk8fwKuvXtTjqt9/fwPt7TEikSQ2m0o0J42Yy4a+uh5sFmKaQaKqA6sqmDHjDTIyHOTmusnL8xCN6/z64zr+2rc3+b0zOMMDF6XD7JdW8Kc/mcF2XZdkFflw3no6Jb08uE1rKwwJLcefwrhf/prKmX8i3NSEarcz5vrrGT5jBgB9fzOLVXco9P3mRXSh0GF1IkeVkZ+eCw11sPQ9OG3Gbg/f+3fdzdKV62j35ZKWnoESi2GNR7AYBkJVzWR4VUVRVbRkEtVmwyolWiSCNAwQAmdmJqc/+mhXZeLRhCFhcRS+iUO2ApM9kHEQn9OEEJROnkzp5MkHbyMp/mc4gp8lUhztjBkzizVrWrp+b2uLcc01c/H5nJx//uBdflZKyZYtAVRVoaDAc8QlZe+Md2+80Uxkd7mI+/1ITUNqZhTDMAziwSDOzExQFLRo1EzSAXr39mKzqWia0TU9JgTYbBays3tOTPYNH4le2ovExmZC0qxqUpAUFThIn3Tuwd/Z3RBtb2f9W+9RvHET0tWKO78ARVVRbTbUeASKB1JkNf2S0gQoFoUxf72U9vYoam0Hc0/OwuPZeTPmDRvaUTqFZdJlI57uhLoOiGnmjyKI2C2kKQq1tUEcDhWn0xR6NWceS9PAQtpb4ohe8Hgb/GtzmPrHF5Kd4cRmM8VLXW0brY98SPTBc3BZBElpJm2f7oYTzp/O8dPPJOb3Y09L62ahoNpsDP/e99CiK1g0uT+rxuYBAikEQ5baGO9vZHc6IVhfz8rFy2nz5eJQBHpBEZYN69CsdkQihtQ0BOAuKEAaBlFNQ08kUK1WhNuNnkzi7d2b7779NlbHEVCmt5ckJPy8Ab6MmlOLAvhjO/w5H4YefbuT4n+QlMBKcVD45pv6LnG1vTYyDMltt324S4G1dm0Ld901n5qaAABlZVncf/+p9O7t3elnjgQMXaf83//GYrejJ5MY2n+3wwU6TS5d2dm4srNpWrWK3hMmMGPGcB57bCHJpI6qKp2LmuLrRz/aScRPtZDziyfw/vHHhNv8CGngSnNgm3AODD3pYO3mHhFpbeWNK64gWF9PwKLQ37qB2g2V6FLgcqg4fT48N57FNRlwZzOogEsxmwRHPU7+30lOPLtplThoUDavvy7Jz/dQHjXQt3Qgazu2LWBIjGiSYFxgGJJQKMGW2gAbGiKEKv0opdkYk8vwjMjFphksakuSPbAXtjbzvBNC0CvXjba5mX5tAdZleXEIuMIL13TOyioWC66srJ4H2Hswa0cV8M34AlwRDdUwS/5XjsrHQS92l26eiERplwKboWNtakQJ+jHSvKiBDpION249gT09nbxhwxh80UWseP55WtetQ0sksLpcpPt8THnooaNSXAHMDcLnUbM1z9ZrSIcOdzfB7OLu15UUKY5EUgIrxUHh5ZdXAz1fBGtrgzv9nN8f47rr5pJM6uTmujEMyfLl9Zx77ss88cSZHH98UVfU4khD6jp6PI5qt6NFIjtdTqgqmcccg5FIdN2c+/TJYObMM7n++ne6+g/abCp33XUS48btwkKu3whsv3sH24pPIBKAfsdBn8EH9e4TN2BZDJzCbOrb09ex8sUXCdbVEWlp4eP6ZppzJMN7gccmaQzB4vUhej30Z6bNfIoE8Oc2qNcgS4Vf5sC0PehDfdppfXnmmeVs2RJABGLIph76w4nOaVPA74/TEtLQ0hxItx19fRPRTa18meNGs6qE7DY6VAt1Czajqgq5uW769PHiUgV3exL0LzWF4B4f2qwCvjlzDPZAPapmTt0quo7TnsGK4gijkIhd2HCm9e5N0uEk45vFCN2MyGGYzp3137uWp35/F/b09K7lB557Lmtee42aL74graCAIZdeSv7w4Xs42COPd0JmxeH2x9urmOfJ5iTkBlqIBwJ4e/dGsaRuZSmOPFJnZYq9IpHQ+fTTzXzxRQ1ZWU6mTRvQ5bAdi2k0NITIynKSn2/eIbdWhMntDDhUVZBI6NhsO06SfPRRFaFQgvx8D4mEzsqVjUQiSZJJnSuvfJOxYwt54okzd2m8CdDREWPVqiY8HhvDhuV2RYUOJqrNhrekhPZNm3bZFkWxWIj7/Tizsig9dVvZ98UXD2XatAG8/fZ6EgmdM8/s32Ny9w64vTB++oHYhd3ymh9ubDRNOAEKLPBSIYzuHGaso4P5d97J13/7m2knICVS11lZDysbzBNBsSlYHBaiH3xAqKGeswsKOMsDEbnjDXVXuN02nnlmOo899hXrHl9kziHZFEgY2xbqPO9UFeIJA8OpoOgSXQAeOzIYo+3dcrIuMIVIsj5AKJTA63VQXx+ktTXC4ME59Ovnw7IPmjWSn4/d5YH2JjB08OagZuYSVSIYGKi7mCi0WS14Bg9DrFhs5rB1Zv7rDhcl9VXY0tK6Le/0+Rh19dWMuvrqvR/oEYhVdH19XYhEgszP/8Oc5x5Er9qI0+fDlZXFibffTr/vfKfH9UgpaausJFhXh7d3bzJLSw/+4FOkICWwUuwF8bjGDTfMY9myeiwWBV03+Oc/V/DAA6eyZUuQp59eSjKpIwSccEIxdrtKPK53E1cAuq4zcuTTXHfdaC6//FgyMrZNYbS2RroiDlVVHYTDSRwOC7ouaWwM8dJLq3jnnUpuu+0EbrllfI/C6ZVXVvHoo2YjASkleXkeHn/8jP1qtbKnTHn4YV497zx22On/wlNQwOkPP4zT192Cwe22ccklPVsSHG4q4nBVvRlEcSvmza9eg7NrYFN/UKJhnps4kbaKCrPnX09TpEIgDQMB6IkEsY4O0goKEMIs5d9bcnLczJgxnPnzN7G2OkAwEMPQ5Db7dExB7/FY0Rw2oqEEemsIcjxgt4CqIOv9RKwWCMSxLdmMJiEaNRPnI5Ek555b1uPDwJ5QJIqo9lbj9g7pei1GhHzydymutnJMwybWDB6BCPhRE3ES3kwUXzZFtRuJBwI4vEf2tPn+cF4aLIyCt9ODTMTj5P7yJ3gXL8BfsxGhKERbW4nZHDzy2nsMKRzEhL5FDLNDuKmRpX/5Cxs/+ICOzZtNWwuLBdVioc/JJ3P2rFlY7Ck39hQHl5TASrHHvPdeJUuX1lFQkGaWh0tJZWUrZ5zxAppmkJ5uZ/DgXDweGx99VMXo0QUsXFiLpm272QkBdruF6mo/s2YtY/78TfzjH+d1JTMPG5bXaeFj0NQUwmZTSSZ1QqFE1zpaWiLcfvuHvPjiShYt+lE3+4eVKxt56KEv8PlcXTfFTZvamTjxOcaMKWTatP58//vHYrEcnFKkY6ZMYfytt7Lg/vt7FBiK1crxP/0pk++776hJ3N/Kn9tNTyiPAro0/VesAgIGvOiH42a/QltlJTaPB0PTzNYx2wvN7cKZhmFg93h2iCbUJiFkQKltz9298/M9SAmD+qSzanWciABUgTQkQgiKi71kZNjZ2BBGAjavE9kcRMv2mJV2xT4sLSGUx/+DU0jCDhW73dJ5nkN6+r7nMI1jPHXUESKEFStJkqionMCEPfp8maHlngAAIABJREFUhjeNweEgHdmlRCSkKeCTGomIskNfwm8LWizGloULKQoEOGPgBN7DTHjL+8+7KDVVVB43ATHyJHp/8xW+TevwV2zg3Z//iQ/aFZ6rg6kyQNkNPyTc1EiguppI83ZVuEKw+tVXCdbWcvm8ed/aY5jiyODoq9tNcdj48MNNOJ3WTmEgWbu2mYqKdmIxHcOQdHTE+eqrLYRCCTIyHPj9cRwOla2+hwBWq4LNZkFVFXw+JzU1AebNq+jaxujRvRg/vpi6uiCaJtE0nUAg3vW+6JxCUhTBypVNPPnk4m5jfPvt9QghusRVRUUr5eUtVFcHmD17LT/84Ryysn7PrFlL0TSDg0HfyZOx2O24srOxp6ej2GxmKb3Viic/n1PuueeoE1dgih+JOT3YZoC/8yfS2adv44cfoiiK2erHau25JU3nlKEWjTLq2muxdCZgV7e0c9nXTZxdGWNGrWTqZvhPDylVPeH1Orj44sHE4zplA7Lwptugs1l0cXE62dkubr55PF63FYEp3tF0lOo2qG5H+U85Q5/7BHVzG0IIrFaVfv189O2bidNp3a/iCh8+LuJihnEsPnwMZggXcjF57N4DC2DoJZegB4MUKDr9bZCnSuLNTRwzdepuW/4ciTStWsW8G2/kH6edxpyrrmLLwoXd3m+tqOCls8/mg9tu47Pf/IY+l03htnf/yi+zJSVtdbxz0+9YfMl1LLrkOl6/7zk+u+IWrJEgx77zAhkdLeSq8PXb77B53XqaVqzoLq4w8x8NTWPLokWsf+utQ7nrKf4HSUWwUuwxaWk2NM2goyPK2rWttLRsS+Q2DLoiT0uW1GGzKYTDSSwWBYfDgt1uIRiMYxhmrtbW1+NxncWL67joInMKRVEEDz00hbfeWs+9935MbW0QVRXo+vZRsE43dF3ywAOfMWFCb0aN6gVAMJjomjaMRpNs2NDO1kwOKSVCQCCQ4Kab3uWbbxp44olpB/w4FY0fjysnh0hzM1anE9VmQ08ksDidFIwaddSaFk5ywZwgJLZ7beu3MjcEZ5aUmBGhTmwej9luZqsdRef3Zk9Px1NQQN2iReb58vTT3KwWU9erlPTAOizp6ciBg7mjycrzVui/BzM5N910PD6fixdeWEHfvj6GDMnh+OOLyM11M25cEUVF6Tz77DKwWqivDyJjCax28PgUEu0RKEnHZlMJBuN4vQ58PgcNDSF69TLb7uwP6Xg5cQ8jVv9Nv+ln0lC5hvWvzkZRVKRhUHj88Zzw85/v15gOB02rVjHnqqsQQmBPT6dl7Vre+clP+M4f/kDpKacgpeSD224jGYl0GfEauk77s09x/LFD+GDs6Tg2b0SNxQCJrqqsnnox/T5/n4zKNbRlZqIISFu5mJa4Roa+o7e11HWEoiB1nXVvv82gCy44xEchxf8SKYGVYo8599yBzJmzjpqaAOFwYof3t+ZOmQLKimFIpJREo+aFTnYm6UajGoMH56CqCsmkTlFRerf12GwqF1wwiIkT+3DNNW8xb14lphNO9+0AhMNJrr32bR544DROPbUvkyaV8P77G5BS0twcQUrZNUu1/WxVNKrx1FNLOfHE3nz3u8MOxOHpQrVamf7Xv/LGFVcQDwZRVBVnVhb29HTG3nDDAd3WoSLU2MiJnywgX5RQ238Yum2b6rEAWzRIu/QK7H//O4lAwIxMCWFGs+x20nr1wpWVhSsnB0VRzPYvFRWsefVV3pvzLo03/Z7MkB9hsxPz+1EqK5ADBvNmEH6+BwLLYlH4wQ9G8IMfjOgU0gK/P0ZDQ4i0NBtSSiaM8ND0Rh0DqUO3SBRDEgraGdjLoHhAGfn5HnRdUlPjp6YmwOih6Vx5uoUtH39I4dixO+TLHUwMDJawmBXK1+g/z8Qy43IGbspncM5YMvsenc2GF8+ciRACV7bZV9NpsxEPBvnq0UcpmTiRtspKOjZtAiFIRiI4fD5sLheq1co7S1ZjO2kgyfVxZKesV3QDCWwefRKZHS148vMBaE3LokDXuvo1dkNKpGFgdbuPyihyiqOLlMBKsceMGVPIgAFZbNzY0S2i1BORiIYQZpRJSlPQgClyvF4rxcVp+P0xrFaF884b2OM6srNdPP/8+fziFx/wpz8tRsodc8fT0myoqsLDD3/JpEmlTJpUyokn9ubzz6sJhRJI2fN1FsyxXXvt2wwdmktRUTpLltShKIKxYwt3W6W4O/qeeiqXzJ7NkpkzaV23jozSUkZdcw19Tjq8/lT7QuW77/LRPfdgJJNkzriTpFCIZmYTLOiNQ3Q275UQ7FvGOc88w7wbbyRUX480DNKKitBiMSJNTcTa2gjU1JA1YIBZAScEa998E82XjaInEdEgGDoW1UK0pRnXMRpN2t5fogxD8sQTi3jppZUACD3BWZb3yQjVo9YdQ5uehlBUbG4XWR6NU52LmDJpNMNnzKCiopUbbpiHqFqGb96bvPGOQX6+h6wcDyfffTcDph34iGdPLGUJS1mMCzcOVJK5NlbktlKEQubuP35E0rx6Nbb0dKIdHWiRCBaHA3tGBsEtW9DjcSrnzaOtshJF7cyP3LSJjJISbG43SjKBoipd4gpAdNpcaHYn9eMnk2axokvYNHoiI597aOcDkRJXVhZl5x5+M94U325SAivFXpGZ6WTw4BzKy5uJRJI7LZZzu61omtHl6SSlKYai0STxuE5NTYC+fTO5++6TKS7uOcflueeWc++9nxIIxHE4LF0ibXtaWyOEw0mys110dMTw+Zw8/PAUPv+8mg8/3Mijj35FPK51S7TfnnA4yS23vE8oFO8SjVaryoMPnsqECX324Qhto3DMGArHjNmvdRxOEhKergrwjzUdbPnV33FrCZyBdjS7g6y6Khw+H4bLQ8IAu4DjHJA1dSrXr1pFe1UVFrudD269lYbly8h1G/jSDAKxMI2rVuLrPwBPfj5S1ymoWYOIhdEEWKSEZBxpQCwe58R9aFz3yiur+fvfvyYvz4PFouDb+AUNFUuIKx7O1t+kWvTGb3joZVM5cVQORJ2se+sthlz2PW6++T1i7W2MaXwL3e4kocGG2gSq8PPRr35FwciRpBUU7PWYWisqaF6zBmdmJkXHH7/L5GodnRV8jRNXV6WhFSs6GktZSh9K9nr7hxtD01CsVmq/+gpD1xGq2hXdzB44kJjfz4oXXjAjn1KiWCxIw6Bl3TpUiwWLP0iweCQ4PVijYUCiW6woehItt4DNw8aRpZlOHeND9bjjUXba/FYIyqZPZ8CZZx66A5Dif5KUwEqxVxx3XD7Ll9eTlmYnkdBIJrsLF0WhM9IksVoVYjHzdSFMD62+fX04HCp5eaaJY3l5C8OH52GxmK1JVq9upqMjxtKltdx110coipl0nEzqKIpAUUDTZGdTZIFhgKoqNDaGicdNAWaxKEycWMLEiSWMG1fE5Ze/TiDQfUrTTJYXCAFffFHN+PHFXW1UIpEkt9/+Ie+8czlerwMpJX5/HKtVwe3+36g6MiRcVwezGzXs/YZgD/rR4jEaM7KIudOxhQKoVRsIDzwWieBHGZDVeTVRbTayBwygfvlyQps3MrVfgrSohqHFAUlbVPBFoJXJs2ZRs2AB7ff+gtPfnsXc836ComsoiQSaw8n4tg1MGXTsXo/9n//8hsxMJxaLmYvnrV9CUDdv3Kpi0JstSCSWdh1FnoLeOaW4alUTra0RjpE1IHVi4RiGpqEbCvVbgiTUalY8/zwn3nrrnh9HXefTe+9l/dy5pqWoELhycpj25JNk9OlZwCdJkkTDTvfqRQtWggT2+ngcbmIdHcy9/noali8nHgiYhqsWC1a3m0Rn66i6xYvBMMgZPJimVavQ4nG0WAw9kcDmduPUk0x55Hbm3Xg/iew8hKIgDINJ/3yMsVvWEnQZDJ44lOEO8Jw4kJeLimivrOw+ECFQrFZyhw7ltAcfTE0RpjjopARWir3i4ouH8MYb64jFNAKBOLqexDDAZlPIyHAQjSYJBpNEIhpgTg9aLAo2m0pRURr5+R4WLtzC6tXNfP55DbNmLeO++z7l9dcv5je/+YSqqg5A8PXX9Qgh8HrNm4x5MTSQUnRWESpm413DrDT0+RysWNFIQUF388WzzhpATc0tHHfcU2zc2NG5LnN9iiJQVYGqKl3iCsDlshIMxvnyyy24XFauvPJNqqv9gGkj8cYbl+6QN/ZtY3EU5ofNqitXsAORSCCScdLiZsJ6Zs1GWgcMoSjq57o+GVzXQ3pStK2NAbZmsvATdXrRNQ1DS5JjTfCdUUXkDRuGN93JxkfuZth7r5GxeQNLTjybSLqPS7X1zEhW4DzpX3s99ra2GFlZ2yrskgnT9DWhQ1jasBNHR0FgsHFjG/nuBKOuuYZIp0AX0sBIJDA0C0JRUBCgmtWzK196iRN+9rM9bpy84f33WffWW1hz86nLtRMtdeJo6+Ct/3c333vmHz3e5O3Y8eAmQRwb26aq48Qp5egxyYz5/ZS//jqf/+EP+KurzWKHrTYdySSJYJCcQYMI1NZ2tYVyeL0UjhlDqKGBlooKLC4X6cXFaNEoJeu/4Qe3XEjN4FEYdge9K1Zgb6rH2rcvV18wlZytf5JDh3LZ22/z8nnn0VpeDoppaSEUBavDkRJXKQ4ZKYGVYq/IyXHz97+fy9/+9jXvv7+BNWua0TSDvDw30WiSQCCOx2MjkdC6IlmqagqwwsI0li1rIJHQcTqteDxm8nF1tZ9p014gL89DTo6beFxDSomuS5JJHatVxWpVu5Lb7XYLum6g67KzFN+Ly2Xt5oclpaSpKYyqKmRnu/jnP8/n/PNfpqUlCph2EYoicDgsPeZbSQlbtgS4+eZ3iUaTnQVwgqVL6xk06AlefvlCJk4s2WUz4qOZlXGISZAuNwAiEUcqCkKCLRpm/Mt/xhUJ4v7uFYy+9Wc9riN74EDs1nZi2KDTukG1WgklbfTSGsAwcBQUce7UAVTWxahrrOHspc9SNiAfrxKF0r2PXgGMG1fIokW15OSYY6/zDKUg/DlxPLSRRS6NWEmQwEZocx3HXnE2gy+4gFjSjIa22krI0nQECmb7bEGaNYGQZhWfv7qajJKSPRrLujffJOlwsX5qDrbvZIACEZnD2nCCz+tWMFzJNR3Gi4uR2bm065BnEZwgJvA+76GhY8VKgjgqKqM4OqacIy0tzP7+96ldvJhoW1u35EmhdjYXNAwUux0hBEXjxmHoOm1VVdjdbqweDxarFRQFV1YWyXCYUEMDjmScoRtXms3UY2GUzEzOf/55cgYN6rb97LIyrl+5kkVPPMHiJ58k1t5OVlkZk+69l9JTTjnERyPF/ypC7iyJ5jAwevRouWTJksM9jBR7QTyu8eGHG/nooyreeaeCtDQbaWl21qxpJhrViMXMnKvhw/PIynLx8cdVAGRkOLrsFOJxjVAowZQp/VBVBU3T+eSTzV3tdNLS7Oi6QXt7tEsUic4KtaFDc7HZVHTdYN68y3G7bVRUtPLrX39MZWUbUsKIEXncc88pLF9ez223fdDZRFqQne3issuG8t57G8jJcXdNKSUSOh0dUex2CwsWVO/QukVKKCpKo7Q0k4cfnsKYMbvoFXiU8kYAbm6ADgNc9dW4160yXdiFIJKZQ9+vP2fTiBOwWC1klQ2kyO1gZgEU/pcDRcel/Qg2NiFVK5X5ZTx9ynWU9x5BXlM1UzeUc7zXxujsEPYv/w0ZOWZLmHgEQn74yZ9h4LiudUkJ6xJmw9+BdsjYiVdsRUUrV145h2hUw+Wy0t7QwjHr/0E2rShIpBDoUuVrcRxR3zE8/Py1TJ3aH4B3363k17/+CE/5PAaFv0AATouOz5nE26cPFrudS998c4/zsOZceSVfhGuQvxiA3hQDHYQqsHhV1DQvva/6GGEoNCR01k4+l41X34bdZuEnPjghvZZlLKWDDgoo4DhG4ePQVTLuD18+/DCLZ84k3NxMIhTqXmkihCmypMTp8zHssssI1tezfs4ctESimxhz5+WRO3gwFoeDpjVrCDc14cnLw5WTgzQMxv/0pwy77LLDsIcpUpgIIZZKKXvs3Z6KYKXYL+x2C9OmDWDatAGsW9dKJJLE6bQycmQB4bDZQ3DLlgAZGQ4aG0MoisDlsnZrcbP1erpVyFgsKgUFHqqq/GiagaYZ6LqBzWZh4sTexGI6lZVt+HxOkkkdVRX8/ven4Xbb2LLFzxlnPE9TUwSn00J+fhpff93IddfN5fXXL2bq1P5s2eInGtUoLvbi8djo08fLrFnLu6YpVFUweXJpV7ud7ce4lVhMQ1UVbr31A+bNu7zbFOO3gUluKLJCRxxC2flYaqsBiHl95G9YzYbjJpDWXIeqWtAjQTYdU8av1Fye+S+t6T3/Ghxvz2K18PGLi/+IsNkY++wjFLz5LzqAD4Xgc6vCZdedRVGkCnTd7K044zfdxFWTBj9tgIpEZ3NpCddkwv9l7Ni7sH//LF566QJeeWU1a9Y0U3hKHx5/LI43uBEf7YREOtVKb+xuF0KjW+Rz6tRjKCvL4oXHnax8KcFATzP57jiuLB/JSIScIUP2Ksm9cPIUEuv/jkUzEFKAAkLT0NoMhCOEZUwx9Wvj1MV0er37GpbCYurO+z6/a4FH1ULOcu+ZePfX1LDmX/+ifeNG8keMYOC553bZIRwOqj75BD2RQFEULHZ7t+nBrWazisWCPSODcEsLFXPnYnG5EKpKMhw2l1VV4h0d1C9fTsFxx+HJzcXq8VBy0kl4CgooO/ts8keMOGz7mCLF7kgJrBQHjGnT+jNr1lKcTjPC5PHYaGoKc+aZ/fnzn8/EMCTjxv2V8vJm7Hbz1JPSzKHKyHAQiWhdU24DBmQRCiXQdQMpJS6XlVtvPYG77joZgLa2KEuX1mGxKIwdW4jbbSMcTnD88c9QWxsEIBRKEAjEO/OyJIsX13HCCcWUlHQvdL/66tFMnFjCggXVqKpg/PhizjrrRTRte/+u7rjdts79C7F0af1+m1EeUKQOif9A7G1AgOMssE0GseeNG7wqzOoFP2uAZVKlraQMX3UF4199iupBI7FFQ2Zv5TSPWfFVsY7laek05TnYvvBPnHk1jsqlfJIzDulyU7r8M3q98SqGzYG0WYlLsOkJ/vnkXH6yYjlpXg+k+UDtfmm6s9EUV7mds0tJabbuGWSH43voh11YmM4tt4wHzIjkvHmVrFkjaO3MvUuzqSQSGm63nXHjirp9trQ0k7seuZyFfVpY+eKLIOwkwmG8xcVMvu++PT6GADWOwQRsWeRIHWmYuWCGotCue8kQYAiFOg1sVhXdm0nWmy/SdsH3cUr4mx9Odu9+G40rVzL32muJ+f0kwmHK//1vFs+cyaWzZ+PtfejPy60+ZIlwGC2RwOpyocXj26JYioLV5cKTn89pv/sd/7nzToSqosfjprgyVwKahsXjQU8maVm7lgHTpzP+llvI6t//kO9TihT7QkpgpThgfP/7x7Jw4RZWrWpG1w1UVSE318Wdd55klmSrgueeO5cpU/5BMJjoMh7Ny/Pw4IOn8eijXxEKJVBVgaYZnHlmf+67bzLRqEZRUToOx7bT1edz8p3v9Ou2/RkzZneJq60Py7GYTmNjCJfLSmtrhJ1RVpZNWZn5xD9z5hLq60N4vXba2uI7LKuqgtLSbY2jdf3gtNzZJ6SE0P+D2FwQnVVoiQXgOBs8v94x3LMLBtlhbm+o1VQqy79kzQN3E6qro2roWBQJVpcL1WoKYokkEQqhyf/q2+fJgNuep6K8CWdSIfurL8xaepvZtkYCwmpDDwWZf8+9jLn+egpGZnXr4VWbhG/ikKduG75VgBV4LdizwNoem03luutGc999n3bm4ElisSQgePDBU3G7rSxcuIX58zdhs6lMmdKPY4/N4/ibb2bIJZd02Svkjxixx8ntW2nzayxbM5rx5zUjI3EMVGJWD2o8iIgnsVTFkJg9y6TVhiVkVgk6BTT20Cv7v5FS8tkDDxBtayNYXw+YBRwta9fy6kUXceXnn6NYDt1lXkrJgvvvp7m8nGQ4jJFMoicS2D0e4qGQ2YrI5SJrwABG/uhH+Pr3Nx+yolGMZHKH9WnxOHnHHktGnz6cNXPmIduPFCkOBCmBleKA4XbbmDVrOosW1VJR0UpBQRonndS72/TZsGG5rF9/A08/vYQ1a1oYObKAGTOGk55uZ/z4Yt5+ez1NTWHGjy9i4sSSrp6CuyMe15g3r3L7WYhuIiuR0BgwIGuP1jV7djnp6XbicQ2v147f311kDR+eh8djJxpNoqoKI0fuvS/SQUNbA7F3QWSA9AMChA/ic8FxCVgH7XYV2yOEOVVYdP50hg4p46vHHuPYlV/y6bFjsIb9XctFXGkck4xQ0NMVxWJlaGEhSzowp8m2Out3vq2HQ2jxOBvef5/m1avJ6NOHM598EndOjrluA1R21IZWAX7d/O6jUfO72ll12P/93wjsdgtPP72UuroAhYXp/OpXE5k0qYTf/nYBs2evRVEEUsIrr6ziuuvG8MMfHkdaQcE++V5tZciQHMSTDmo+z6Hg5IDZ7FxKZLsFzx/XYtMldgGaBEd7K8ETTwXM3LdpuxGOAMlIhJbycoINDahWa5cAVCwWWsrL2fzpp5ROnrzP499bar74gvLZs3FkZhLr6CDa0QG6TiIUwp2dTfagQYy+7jpKJ03CnZtLIhwmGYn0KK4AFFUl2tpK6aRJh2wfUqQ4UKQEVoq9oqMjxvLl9djtFkaP7rWDALJYFE44oZgTTije6TrS0uz8/Ocn7vB6UVE6117bY67gbtm0qb2z+nDba1v/bxiSk04q2WOBlUjolJRkUF7ejBBmMnw0miAW0+nXzwcI6uuDWCwK9947ab9d3w8o2kowmkGu3+5FASLbfG8vBVbXajWDlXU2PnOfRXDuP8gaU0HHwAHmuqWBNRzivkLbTgNkF6bDawHYdPpF+Ob+C6kbGIqCIxFDi8UQQpDVvz/2tDQ6Nm9mwW9/y9RHHwWg1AZpCoQM8ChgTcYYuXIeyfYWIutcnPJJFE0zKC72cscdE3osOhBCcNllw/jud4eSTBpd5+2KFY288cZa8vI8KIo5+GRS56mnlnDGGcfsYPuxt4we3YtxY4v4amYNkU/ycPaPkugwGKL0p3fN54QjYXpb7FSH48TSvGz+3vW0aOZ+XrkHlu2qzYahaSBlt+iaNAxUq5VNH310SAVWxdy5tK5f363/pLBa8eTmMuXhhxl84YXdRLCiqlicThSrtUeRJQ0DhGDY5Zcfsn1IkeJAkRJYKfaY2bPLefDBzwkGE53eU07+8pezGTYsD4BwOMGyZfVICaNGFRxSU8733tvQeeGWXZGrrbjdVh59dAodHTEyMhy79cCZMqUf//53OcOH57N5cwfhcBKXy8Y55/Tll7+cyFdfbcFut3DKKX32+wZ8wDFiYDSBcG3LuZI6GPXA3k1vbSWR0Ln55nf54IMN1NeHULUBOG99n0Ej55A9rjfZyRA/OOMkxvQZtdN15Fngb73gybPOpOW108n+/+ydd3wUdf7/n5+Z2Z7eQxISQu8gTVBBQFSwINZTT/16nlhQ9Lyz/M7Tu/P07tQvenL2s5zYe0EBQRRBUbp0CCGk92STbN+d8vtjNgtIL5b73j558EiyZeYzs8nOa9/l9V76qenwFDajg0kFBdgSzXPpysyk6quvCHk82BITUQTcmwm3N0BR6TfcO3saFdubKGuRkGSFXrkDmNvlZpqb/cycOZ85c6bRs+f+xbQQYq8PBStX1qDrRkxcwe6i93Xr6o/59ZVliUcfPYMPPtjGxx/vQCkXTJvWhylTehFsGc+299+npaSE7r0GsGzsuSQmZjDeAZcn79uRud/tWywUT5rE6qefxrBaze5aXUdVVewZmdhTUg69kePIzsWLifh8CEVBEgIDMFQVf3MzqcXF+/ztqaEQjpQUHOnp1K9du4/IUkMhTrz1VrIGDPgRjyJOnONDXGDFOSxKS1u5776l1NZ6Yo7ptbUezjrrNTZvvpENG+q5+eYFMSuF9HQnDz88iXHjin7wtRmGwfvvbyM720V9vY/vW49MnNiNSZNeQdd1iotTufvusQwalH3A7V1//XBWr66lqqqdzEwXmZnmXMSHHppEXl4Sffr8dN1Zh0bFTKhpgBTNw+lRsXV46dbvs2jRTpYtq6Cx0YfDYUGSrGiqk00b/YzpaOG++beTWdjlkNsptMKDOQJ93jts//BDNr35JlVffYUzI4Ok/D0KzaMXYWOP1v5TXPCSs5mUx87h029a8IUhjAXD0JBK1zEk+BLrev6ahgYvb721OdYMcShcLst+BbcQ4HAcn7dHm03hkksGcMkle4uEhOxshl9/feznc49y+4X3/IUl73+M0lCDqljAgHBGLporkapRZzMoGvn7IVGDQXYsWEDTxo1mNC16e6d7vRaJIFv2VYy2pCRSiovx1tbiysrCW1+PEAJD15GsVlKLi6n+9ltG3HjjD3sAceL8AMQFVpzDYuHCnTFxZbMpqKpOKGRaMPTt+wQ+Xzg6wsZ8a21uDnDjjZ/w5ZdXk5HhxDAMFi7cybPPrqGqqoO+fTO5+eaRDB9+6AvzoTAM8HhCDByYjSw30djoi0UlrFaZ6moPWVkuAoEwK1ZUM2nSHG68cQQ33TSS9PR9C13S0hy89toFLFmyi5KSVoqKkpkwoXgfU1GfL8yyZZV0dIQYMCCLvn0zfnqHaGEDuQCMFjBCu28TeebXo+Czz8oIBtWY+z2ApFgIWxPYKeWyqSzE+CMY2yhJEn2nTaPvtGms+de/WP3003vdH2hpIWvgQOzJ5oxKQ9dZ+cQTdLz5T9wtLfhD4LBJaJqEQCAZkFjzDVK3X+JwWNi1q+2w1zJ+fDdmz16B3x/B6TQFQEdHCKfTsk934c+RkA63tjuJzFlIn7uvh9pqAilpCCHwXnsbpV1681Az3Jf1w60hEggZ4+FKAAAgAElEQVTw8XXX0bh5M1okAkKgRyLmOBtJwsBMZSoOxz7PFUJwyv/7f8ybMYNgRwdWlwtd05AsFnKHDsXidNK0ZQtqKIRi+xml4uPEOQziAivOYdHWFsTrDZGQYJp+dnSYF28hzIHLoZCGw6HgdJpvgpqmU1nZzuLFZXTrlsq9937BN99Uk5Jio1u3VHbubGXGjE945plzGDIk55jWJkmCESPyWL++gcGDcwgGVcJhjaqqdurqvFRUuKmp6aCtLUA4rGMYcN99X/L44yv5xz8mc/nlA/fZpt2ucOaZPTnzzP3vc+vWJmbMmIfHYw6JlmWJyZN78Mc/jtvL4+vHxDAMqtc4KfukDdmSRI+JyWQPSEAIhbC3nbLlbtrK/0Faz550mzABy34uePuj0+h1TzRNj4nYcPiAY3UPycDLLqNy2TKatm41Ix9CYEtJYewf/hB7zNb33+e7F19kUJaN+l2gyCChR2t8zNefiIHF34TPl8KwYYdflJ6Tk8Df/34a99zzBU1NZmdrUpKVWbPOiAmunyMlIfjCB9tDUB2B3PxCXn3qE0J+PwiIWB2kWWQGS/CpF+7MANcP9Gu5fs4cyj7/3HRmt1jQdD1WD2ZxudBVlcTcXNJ69Njv83OGDOGCN97g1SlTCLrdODMySMjJQbZY0KI2Dz9mJ2ScOMeLuJN7nMPiiy92cfbZr+NyWfD7IwSDarTrykCSTPd1IQSKImEY5mgcTTO4+OL+bNzYwM6d7tjjhRAMGWIKoSFDcnjyybOOeX0lJS38+teme7fdrlBb66GuzoMkCRwOJTYipxMRvTAXFaXw+OOTKSlpwW638ItfDCAp6eCflA3DYNq0N2lu9pOaaooUXTeor/fw4IOTOO204mM+niOlsz1+2wcfIIk2dLWOIAq+X4zH0iMbY045KbWtphu7YZDYpQtTn3/+sMwo16yp5corP6C6uh0hBIFAJBatzMpy8e23vz6m2YxaJELV8uU0bd5MYl4e3SZMiNVjAbxx3nmE2ttJdxo4tn1JaRM4rRDSFQK6gk2oVPmdLO77R1yZmbz22vmxMTmHSyAQYcOGBhRFYtCg7L3MR39uvNIGs1tBx+yirIiY1XXfNxQRgA0ossJXRbuHcR9P2isreX70aILt7aahaChExG/aoQghkG02FLudS957j6JDjKjZ+t57LL3/fhKys5EUBV3T8DU0MOTqqxl5003Hf/Fx4hwH4k7ucY6ZU08tonfvdEpKWmIRC1NIybhcVpqb/ei6gRB69CJszhNcvrwqdrHrvGiFwyqVle10757G9u3Nx2V9vXql88YbF/LOO1vYurWJhgYPgwdns3VrM5HIvj5Vnamu6uoOzj33DSwWGSHgzjsX8cwz53Dxxf0PuK+yMje1tR7sdoWWFj8JCVZsNgW73cLcudt/EoHVuHEj2z78kITsbFQtmyVt/Xg/93x8z7VjCAlhGciJ/QNcH1iKADy1tax66inG3XPPIbc9bFgX7rxzDHfeuZjGRi9gnj+bTcZqlXnhhXXce++4o167bLFQNG4cReP2v41gezuK1YpHWMhIS0Y0txPWwCaryEKjMWCl0jWIsy4aztVXDz1icQXgcBxeSlBHx8BARWUTGylhG05cDGckeRz7yCTDMA1V3Rr0tEHaHjqvUTUjVv9ogQzFtKmQgbKIWXknAbphmJEkXUMWEFas1Ecg8ANZta19/nlz3qjFgqQoWBUFSVHQwmGELNP3/PM59U9/IrXboYdU95k2DU9tLRteeSU2q7D3eecxbPr0H2bxceL8wMQFVhzA7BRbtGgnX3xRTkqKnbFju7J+fQNLl1aSnu7gsssG8s47F3Hppe+xfXszfn8Eu10hOdlGXl4Szc27TTx13RzULASUl7fR2hqIDm82zUcVRaa9PYTXG2bAgMzjdgxduiQyc+Yo6uo8rF1bT0aGi/z8MGVl7r0e1xm90jSzjsxmk2P1VcGgyvTpc5k0qTgWnfo+jY0+du50o2l6rGMxPz+JpCTbfl3ffwxqVq3CiKZmqqo6eK/oV/i+a8XikhCSgabqfLPWRp9BfRgf2YYzLY2yRYsOS2ABXHnlENasqeXjj3cghDnuKDPTic2m8MknJdxyyyiSk+2H3tBRUDBmDGULF5KQk8OuzNG43N8RaGmkPWgQ0BTqXUOxXvkhv7ktDbtVo628HGtCwnEdFRMmzNd8xVpW48cfE1oKCgYGm9nE6ZzJ8MMYxtyqwcpoQPUEuymiFGHefls9bAmZ44AM4FfJcFky/LkJlvqhQzeNVwFyLdCugxUIAhgGVl8HkqqiKxbSK0vxZnUhLSebRX7B1T9AU2/NihUkd+1K87Ztsd8/2WpFj0ToPXUq5/3734ddlyiEYORNNzHoiivw1NTgys7GmX541ipx4vwciQusOITDGjffPI/Vq2ux2RR8vggPPvg1GRkOunVLpa7Ow29+8ym33DKKxYuv5L33tvDAA8uQJImCgkTKysyiYlNsGGjRkhyHwyyG7xRcuq5htYKu69hsCuGwxvTpB27tP1pSUx0oikQkYvpZybJgw4bG2P2dQ507m9RsNjNMEAqphEIqkYjOBRe8xXPPnUtx8b5mRM89tzYarTOjcqGQyo4draSk2Jg5c9Q+j/8xsLpcsQvZJlsOvm3tKAkKQpiKT7LIaKrBZ01dGJ9iXgxl65FdcZubA3TtmrJPsb8QArc7+IMJrOHXX0/1N9/gra9HcTh4zvkMbUoi/bq0oef0J5Tci9oKePGhLxDvzMRTU4Oh6+SecALnvfQSyQWmJ1uzCot95rDoExwwzB6da3gIDAw+YS4b2YDK3vbqOjo2bKioLOJTBjIIGwdOMS/wwJ+bzeL0BtUUSF0UODfRjFptCe0eB9Smwd2N8KcmM93X3wqSBLVAaQTsEmiG+VXXQVfDyKqKIUkgSWg2GwmtjRRXb6f19KOPMB6MhOxsIj4fad274961C1QVXdexuFxM+vvfj6rpw56cHGtwiBPnP5mfpho3zs+KJUvKWbmyGptNprq6gx07WvD7w1RVddDS4iclxU5GhpOnnzbr4668cgiffnoF55xjDnhubPRhtUrRuqvd2/X7VSwWsxbLtG5wIIQp6AYOzGL27DMZNuzYuwi/j92ucOmlA2hs9BEOaxQUJJOTY6aNJAk0zYymSRLIstlGHwhE8PkiaJoBGGzc2Mjpp8/h8cdXEAhEqKxsZ/PmRnbtcrNxYyODB2fFhIXXG0FVNbzeMI8/voJNmxoPvsDv0bxtG5/ceCOvT53Kt489RsjjOeJj7jZhArLVas5/k6xgmMeKEOiSBWHoSBZB0KNhGAb+1lb6TJt2RPsYMSIPj2fvSp9gUMVmM4dz/1AkFxRw4RtvMPRXv8LZezitKSPJP/FEgn2mEU7phRCQY+yk7sHLaN2xw3QHDwSo/PprXpowATUcZk0AzquCh1vg2Ta4sQ7ubDAd1A9FC81sYysqKtL33jJVVHR0FBRUVHay84DbaVRNceUS0KCBzwCbgEYN5nng7Q5IFqa4alDh2wC06lCvmY//KgB2YUa7DANqVchUTJFlRccWDKBabRiyjCFAt9oZ8NV8Cua+dshxQkfLoKuuIuL340hPJ3/UKDL69SM5P59T7r57b+uNOHH+C4kLrDg888xqNm9u5ttva6iq6iAQUM1PxLpBSUkLra0BrFYZwzAoLzejVUVFKdx880iyshI45ZRCUlMdhEL7Fnr4fCrp6Q4Mw0DXDYYP78Lbb1/EokVXMnr0gd3ej5UbbhjODTeMIBRSqa/3MmJEHtdfP4zevdNJT3fQr18W11xzAlargq4b0WM2ohE3aG72s3NnG7fdtpD09Ic444xXuOaaj7jkkndobw+SmGgnOzsBq9VMLyYk2EhLcwCC++9fuo8X14HY/Pbb/GvUKNa/9BK7Fi/m89//nudGjSLgdh/6yXvgysritIcewtB1hni2ItkEagQ0xYGiCBTJwAip9Ahsom3j1+SPHMYJ11xzRPu47LKBpKY6qKvz4PdHaG0N4HYHmDlzVGx49w+FKyuL4TfcwORHHyEhJwfFvnf6Nnvb04hQW8zVHMNAV1XaKyrY8t77/L7RDNfnKmbEKFuGz/3wue/Q+26mhTBhRPTf9zGThdFI4X7u72S53xxSHTbAp5viSsasjyqNgMeApQEoC8GGoJkilDGjVzIQxqzP6mczb2vXQNUhUYZsSSPV3YAjFMAQElnlOzhx7hx6fr2AHH8bJ+5xulTDTDN6j0NdVrfx4znpzjtRQyECbjeGpjH4qqvivlVx4hBPEf7Xs3VrE598sgNV1fepHzIMM9pUUtLCqFEOVNUgPX33O3VpaSuSJBACPJ7wAffR2uqnV68M7r9/PKef3v1HsTGQZYlrrz2Bq68eQiik4nSahpKqqqNpZopS13XKy9tYtqwSVd3/1SYS0VFV83ETJ3YjEIhQUtJCUpKN1tYATqeCEIJQSCMz00VKip2dO1txu4NRwXVgdE1j/syZZu1MghkBMgyDtvJylt5/P2fMmnVEx1x48sn8csEC6tdv4JundjDvqzZkPYxi1wkHIMsR4Pbeq+llc2AZ2oJiP7KUXlaWizlzzuOVVzawfHk1vXqlccUVgw86Fulo+abKy+L1jSR7Akw7JZ/8fDNllJQAJw6GlRsgK1qeYxigNG9DMjQkZXdVuKwoaKrKd0u/om3kxSR52wgaYEtJRggJu4D5Xjh9P8E3AyMmppzs/ToKRExQdaKiYsVGNw7c4NCZXAzu8VSfbgqnTlkWBrZFzA5BC+bXzr8WCWjR4ATZHB803gnnJMEJNtgaknnig6VY3M30qNxOqKUFDUgOehh31mVE7en4xAOzWsz5jkLA1ES4LR2sR2nfJoSg/8UX03vqVLz19TjS0vbqAI0T57+ZuMD6L2f27BWmc/IBAi66Di0tAVavrmHatL57jQ7JynJhGAZerzk650B4vRFOOaXrjyau9kRRJBTF+r2fowNxJYkFCy7nuefWMWPGJwhBtFZs96Bo8zmCSESjpcVPRoaLvLxEGhp8qKpGOKwjy4KkJBs5OQkxb6jOuq6DUb1iBWGPB4tzd/5GCIFksVAyd+4RCywAxW4nf9RIPh41krcXlvHko6/T2hJmdHET1xWvIdNlAT0D66Y1tHsqSE48AodQIDc3kdtv33eO5PHCqxlM/rSOFUGBFraCYuf2h7/jWhFg1kOTsFpl7p4ON94H1Q1mlEcARblFSM0qpiwx6Ywi+rw+Iu++hrZrO/70LGqLepE9ZAh6ahYWDJYtq2Tx4l3YbDKDJ7vwDimhhRaSSGIEo+hOdxJIoIMOdPYV4joaFiycwZkHrb860WGKJEV0rg86zUMUiG15z68KZo2VTzd/loE61Ryj84es3V2GJyoSBROHsOCWW9AjEdOPKhwmubiQQZdcjGHAq+3w+0ZwSGYUzy7grXZzTXccYz+AYrORUnhkv0tx4vxfJy6w/supqmoHTE8js/5o/3i9Yb79torq6o6Y51G/fpn075/JihU1B+2eKyxM4uGHJ/1kBpwHQ5Ikpk8fxoMPfkVTkx+/PwLfi050zjjsPD+pqQ5GjswjIcHKu+9uJT8/icxMF0JAfb2XM8/scVhzGOWoM/U+hcCGccQF6PvjotOLOWX1QrS2egzHHkU4kowhBL5g/RELrB+aW1a7WRGW0Zo7UCQJQ0Dk1N68+Nq39H1uLTfeOIKcTHjrUVi1CRpboFcRhJYNZ+50xUwRSlIsTSgpCk2vv8zJS79ClxUkXcOdX8zaS2/AOvFMGt/axG/mrEZRJIJ6iKffczP+hgQm/iqVECEWswgdjWlcwLu8jRfTpkIgsGOnO91JI4PBDCGTg3fE5lvgljR4rNW0WPBo5m+ahPlVwRxpE9BN4SUDSZIp9oUArwG9rXBDKpyfBKmy6aJesXQp7ZWVpPXowbQ5c9gxbx4dNTXkjRxJjzPPxOpy8Xgr3NcIfgOUaIF9kcVMmb7vgRlpP5wRaZw4/63EBdZ/OePHd2Px4l2AGXnR9X2VkmlrILFjh5vJk1/lvfcupmfPdIQQPPromTzwwJc88siK/W5fkuCOO07+WRs3gllfNGfOBsJhDU3TYlYOnR2QnfMVAQIBlbPO6sn55/ejqCiFN9/cTGurH1U1GDGiC3feefAITzis8fzza3nzjY30iHQhsbWdjGQJm6yj6zq6qjLoyiuPy3GFB5+Mff7LhPcQWEogQDDJSWp6r92PM8z00Tyv+aZwbqKZOpOPMnV0NEQM+MQn0Fu8yNH2PmGA7AsRmtCXV15exo03mjYIigKjh+x+biDtXFY99SQtJSXmsGFJwuJ0YgCh9nZSWhupL+6LJisk15STt3op6UJm08s1ZGcnIEmCOtpJjMgsezrAiLOSSc42Re43LCefApw4EUi4cDGIwQxmCC5c+63LOhCXp8BJTrObcakXXov2M9iFGVkSmH8zhdLuYndhmAJsggvmFoA1KoS89fV8dO21+Orr0VWVkMeDbLEw5Fe/YtTNN8eKzEvD8FKbuT075mtqAOWR3UXyHj0usOLEOd7Endz/y/H5wgwe/HR0fpuB/r0MiBBmWi011UE4rJGUZGPs2EJefnl3B1owqDJgwJM0Nfnw+cKxTkJJMr2pdu68Bav15y2wams9XH31B9TXeykpaSEUMkWWLJtdkAUFieTnJxMIqPTpk8Gzz54di1KZvlitZGW5KC5OPWRr+h//+AXvzyvF3jWVDHcFRctmo+hBMmw+FAkKx47lFx9+uN/huEeK31tL0yNn42hsxrDakFQVTYKKq2fg2lZA5bJl2DMzeePCGay2Z+CKzocO6KbI+uMRzrALhzW+/LKczZubKChI5rTTuu1j3+DzhWls9JGV5dor0hfQoeDLNtwlTSiyoLMyybDI6IZBv0fms379DQc8v01bt7Lk3ntpLSsDIGfoULZ/8AEBtxvdZRZaRax2dCGwejsIj7icRb4RdOlipr0rqUBCoqNB44L7Uhl0phMdnSoqSSMdFy4MDNy4UYngxEUCCQxnBH3pd0RCq5M76+Fx927TUNUwU4EPZ8Gv0+BjD+wKw8kuGPG9kr6Ft99OxZdf4khLo2H9ekJeL3o4jDUpifQePTjjsccItrYy9525rIvIfPc/t1GZU4gtKl5DBnRVIMcC87ruTl3GiRPn8Ik7ucc5IC6XlRUrfs3MmQt4//2t0WJ3A1U1ozaKImKjYwzDICPDwbZtTbS2BmJF3DabzAkn5FJR0UYwqMZMSCVJMGlS95+9uAJTCL7++oXMnbudNWvqqKnpoKUlQNeuyUye3IPt21tobvYzblwhU6b03EsYZGW5yMo6PPfwujoPT5cHaL3tTAxZAmkMmWPHMOCVVzi1n8Iv77yYgjFjjtvQaGdCF1J+9yEVK5+AbSsJZWSgjLiQit+/R9u211EcDnbm92BheSPdsjQSsrMBSJbgY69pctnzMGfsdnSEmD59LqWlrbS1BWPms5deOoC77jqZgoJknnpqFa+8sgFdN+c3XnnlYKZPH2aONJJgkNVgWaoTvc0fc9vXE20oX2zn1FOLDnheVq2q4dVXK6jlIkaebeeCiwZQ3ggt7y+ipU8xmt2OEGDze0nbtQMRCqPm9YeS3duwYiVMGATYouEcD2aIKRFThAXw443elkwKYULM42NWsZJuFDOAgaSRdtivz/3ZEAHebDcL3FMluDYFpqeZHl3nHWACka6qVCxZgjMzk/aqKlNEahoYBkG3m6Zt23jtrLNQAwFUXafQgNSln/LOEx/h69YLRQhUwyy4/236DyeufI2NseHN7tJSHGlppPXsuc/raBgG9evW4S4rIyEnh/wTT4zPH4zzH0/8NzgO6elOXn31fHTdYMuWJtzuAI899i2LFpUhSVK0S07FYpHJyHDidgdjheJg1hDdfvsYbrppPg6HhfR0J15vGJtN4frr9yvsf5akpTm46qohXHXVkEM/+Cj5+6JKms4diuwJIqs6uoDGQUWsu+hyBgQ9dD3p+BeQJzsLGHTq3+FU8+dNb7xB27YdFOY4KdKraek1HLui07FzB67MDIQkx5zEt4QPX2C9/PJ6duxoJRxWaWrymx5oEZV5ryzB+OAhcnvk8+amDGr0XGRZIivLxdNPryY11c4llwwA4LGBiUxsV2mRBJqqIxQJ0eyj96ZKbn3+nP3u94tXF1L17P9ymVJNi5TOuwtHM/X9GtREO93GnUPh+i8ISxIGEHQk0JGRTbARVm6x0dDQQVKSjYQEKymkUN5WhzVRottIKyFCBAjgYrd4bqMNCRkDnTBhPHSgolJDNQECbGcrZ3EOXQ5zbI5FwCM58IdMMx2Yp0DS4XweEcIcqGwYeGpr0VXV/DkqXLRQiFBbG9akJOwuF0ENElsbuXDmNL58+kNq83uSJMFTGSEGlG2n1ekktXv34ybsO2pqWHLvvdRv2ICvqYlwRwdJBQUoNhuZ/ftzxqxZONJMIRoJBFhw663UrV0Luo6QZZLy8zn7mWdwZR6/SQ9x4vzYxLPucWJIkmDAgCxOOaWQl16axtSpfYhENEIh08tqyJBsWluDjBlTsM9A5BEj8vj3v6cyYUI3MjKcTJ3am1demUaPHof/af6/gfdVGyIUQYp2XUoGSG4/7iGFdD+OY4MORsWyZTgUiWLfNsLeIE53Kw4jTJrwEGnf7b8lYUZUDpcFC3aSkGChutqDzSajSAbJwWpC/hB6RxM1Xy9jaPtCuqo7EUJQV+eltTXAnDkbYtsYmKSwfkI6M9IFfdwdDFhdyn2BFj5764L9uupHKraT8dIMRth2olhkusoN/CH5Va7VX6ZwaIgNF1+PPzUXm9eDo70VV3MD7vzulF78FwoKkklMtNLQ4KGpyUdHo0Z+QjbX/bOAiM0UVidyIvY9bBoiRKKpQEGQAFq0g9DAIAEXAomlxpeokQPbluyPNBn62g4ursKEWWos4anQYzwfeYaE6WPxNjWhhaLmr0JgRHP8asDsT4z4/YTb23FEguiyQlJdJUNemk0fOzxWt5LK805n7nXX8e5ll/He5ZfTUVNzROveH7qqMm/GDGrXrCHi9xNoaUHXddorK7EmJtK0aRNf/uUv5jF5vXx07bVsfvNNPDU1IASuzEw6qqr4+qGHjnktceL8lMQjWHH2i8tl5YUXplJYmMyCBaVIkqC9PURxcQp3333Kfp/Tt28mf/3rxB95pf9ZeG0WbEIQ1iVQEjAkB4augqxx6uTeP8oa1rek0TUQ5NnGIei6oEegFE4N4Hcmktxag5GSQYsG6TJH5AButUoEAqbbkxACS7AdSQuDlIDXcLHKGEYbqQi/jtvvR5JN+4vq6nZCIZW1a+sIhTSGDMlh9vhcGJ97yH36P3gGoWt4LClgGKTjJsNo5aqcFsozz6Q6WeOrG/6CY+N6nI11eLLyaB81hBPe/hDoT5cuSeTlJXLbbaOxWCT698/aKzqrolJNFW2048CBgoUQQRw4iBBBQoo6uVvAgFB1E/W+zfzrusfIzO3G6N/+lrwRh55PeCgiRHgm8E+apWYMVQcB4hcSyXpvpNtLTWFlGPsY3BqqiqZpEAqZBhKSRN+v5zH6F6sp3bIZe2oqacXFWFwu3GVlfHrrrVz41lvHFMmqWr6c6hUrzPRkIIAWicS2V/PttyR17UrlsmV46+tZ+LvfUTJ3LkKW0UIhWnfsINTRQVqPHlQsWYIaCqHYDjOEGifOz4y4wIpzQBRF4i9/mcDVVw+lpKSZzZub+Pzzcs4442WKi9O47bYTGTOm63Hfb7MKr3XAMh9kKWYd0Ek/0KiPH5tefj8bczMRkTRUXQYMcFlQQhKbN1gZcPwnB+1FOKzx5goLWtMpaEa0/7/FYNSfn6ThrktotthA1elpk3gg68gMKC+8sB9/+9tXGNELvRT24sdJvqWZ9aFetJKGjSAKGhYihDUrgYBKIBBhypRX8fki5vMkwZ13nsx55/U54L62h+B/myEzoQeZQ85k2Pa1pEbaScdNWFgQRCioKEUbJdHF6WHTgJPwhQU2QqTUNVL+VR1BxUpSbi4Wi8zw4fs/8QoK5zKNVaxkByUkkoiEIJEk2mmPOrxDOhm0V1bRVl2JSLWTmJqFp6aG+TfdxLnPP0/WgAFH+ErtzargcppoQvg05KhY0TFov7yAMd7bWP/AbAJudyxtuBd7/qzrBHeVUV++K3qXQX1HB9mDBuHMyKCtooKmLVvI6t//qNe68fXXCXV0YHW5iPj9u4VfdEaip7YWe0oK5V9+SfP27TFLEkmSELKMr7GRpLw80yzlZ9SEFSfOkRIXWHEOSXFxKmvW1PLqqxvw+SI0NfnZscPNokVlPPjgace1zqpVg6tqzXqUJMmct7YiAHekw8WHOf+1oqKNp59ew65dbkaOzOOii/pRUPDzGB774ElZTN4o0FKtKCENXREISdDjS4PZ9XDOOHDu2S0WCkLDLsjIBzUMG5eCGoHEVFj9KWxfCUnpMPEKOGlarAbnQKxYUc2uJonB1mD04iXQDMGKslT++egt9OquId/8JF3GnH2oTe3DRRf1Z+PGRubMWY/bHcTQ7WRIDfRRylgYGoGDQNQh3UDfozqhtNRNW1uIoUNzsVrN4dl//esyBg7Monv3fVPM8zxwWY1p65DbewrWolN5f0wD/3x5BgSMqK2BYMCONRSXb6Gsax8skkzmjlImvD0LR10dlqY2vFIyi91nUTQ4zPyZM5EUhd7nnkvhuHF7RXCcOBnHqYyLFrHVUsMqVhIihIpKOuk4NDvNNdWQ6cS5tI2IX8WWkoK/qYnvXnqJ0x9++MhO5vfY0L4SEg2kPdYlIdAxCE/OZ0DpJax78UWEJKGFwzHzLENV979BIUDXifj9SImJtFVUkD1wIEKSCHu9R71OwzCoW7MGSZbNc9gpkKLfy4qCGg7jra9nxezZ+JubEZJEqL0dq8sVK2zvqLc6RIMAACAASURBVK2l55QpRzxtIE6cnxNxgRXnkGiazjPPrCEQUKmv92G1ylgsMsFghHvu+ZyyMjclJS04HAoXXtiP887rc9Smou91mOIqTTbHgugGOCWY3QrnJJpeQQfjiSdWcNtti4hEzBqnd9/dyjPPrOatty5i8OCco1rT8WRcv3TOfCXA51KYUAHIbp3U9REcfoWQRWFXtUz/npgXpufvggX/gkgINC1qkiSb9+kquFKgeDD42uD1+6GjGaZMP+j+d+1yoxkCj2ojTfETMWRkYWAYsN2XwWlta2DHCjjp7CM+NkWR+OtfJ3LFFYN44olVrFu8huEVbxOxZ+E0FDQfKIZGADtq9K2n00QzGFQpLW2lX79MbDYFw4CFC3dyww17CyzDgJvrTe+mBAn0hBRy2iqpSc3ljdG/4O7P/oYiInQYVlJ0NzNeupf1w0/hpezJjH3uz+juAKonjIYdK0Emh99nwXvjKey/A8MwqFi6lP4XX8xJd9xxwOPsQh7nch511LKWNVRQgVfrQE2SCS5ooOaBbRDScbksFBc6cZeWHvG5/D6yV4X9TKAxANmrcdrDD1P22Wd4GhogHMaIFovTWfgeTSF2IoQwI0S6jq5phDo6YsIso8+BI4eHg2EYuHJy8Dc0YGBgSwQ1bKCFBSGPB8MwELJM/fr1qD4fisOBoesE29qQrFYkWSYhJ+egr0GcOP8JxAVWnEPi9YZxu4M0NvqxWuVY+7zVKtPWFuKFF9bRv38WbW3wwAPL2LKliXvuGXdU+/o2AGEdVoR2jwyRhWkbUBGGPgf5QLtlSyO33rpwr7mCqqpTUtLK5Ze/x4YN1yNJP31fx9ACB5WLdeoXN+D1hvEAHQboUojmRgl6psPbD8Hcx0GxgqxAKAAYYLGbIkvXwN8BrXWQ0w0sNlj0bxh/GTj2M1wvSnq6k6QkGxWtaRgGpFnMYuhOY1WEgD6jjun4+vbN5PHHp6DrkymZP5zlDz/E0u9CeGSZkGGlRU83y8SFwGqViER0bDaZhgYvqan2mP2H379v9KUmAvUquKKBHJ8jharcvqS0VvN1/wk4l/2dSEQjVfaTlBihwp3BR586aXGvZIW3N73lXaRIzRhIWFxOZG8TUiSALTUNSZjzIbe8/Tb9L76YlKKivfZtYFBFFRtZTyk70DGwY0cgSBaplF7+DWqanYQZxRDRCX7WSOmmaiadfGydoWGfj4L1dqpyDHQZpKgDvGGVEIEIlo/L2bLlHTRVxYiOydFVNRa9siQloXq9ZpouGkkSkhSr29KCQWSLBX9rK4OvuoryJUuwOJ0UjBmD1XV49iOdCCHoetJJVC1fTnZvnQHneEjpCoYGOz4XLH/CDMAaqooaXZ8aCuFMS0NTVdRAgKxBg/jlggVYHAef5Rknzs+duMCKc0gSEqwkJFiJRDQcDgu6bhAIRPD7IxiGOatw5cpqnE4LXbsm8/zz6/j66ypSU+1ceGE/pk7ts1fh8MHIlGBb2BRXnXPmLAY06VCrwcE+W99zzxcHHNpcUtLCRx+VHLSu58fiwtPhxbcDtHfoOB1mtCas2UkU9Tw5ewtjR1+A+PhJU1hZrOA1TWABM5plsQKSKbJaogJLsZgRitY6yOt5wH2fdFJXCgtTqCdCRbNGdSgJGZ0Ma4CLsjdDRhcYOeWoj629Pchzz61l/vxSFEVi6tQ+XPHhx+TM/447/ryGXZVeCKlIEBPqkiRoawui67BjRytCQEqKnbFj963vc0bdzjt/NwA6EjJpcmaQ62+GlCxEQyWyJPFJQxF/qjiV2swCsPuo68ilVi5gfMo35OA3IzZAshwkuhQkWcYAGjZu3EdgrWMtK/kWD16CBBGAhkoW2VQHG4nMGk9Smg/DECAJrNOyCT5hw9tjwlGfz8ZNm5h/882EvF6s3yUSvm0omtVMvxntQRwzlrCrUmFbx9v4GhsRsozq8+01TFP1+bAmJhLyeMzbhDCjSJKEkCRkq5UeU6aQnJ/PhjlzzOhX1Al/8uzZZA8adERrPvHWW2nZ+jljrtuFoYOvEYQEjlQdRxp46r73BF0n5PWi2GzYkpMZddNNcXEV5/8EP/3H+Tg/e2RZ4qabzE6oUChCR0cwWpC8+zHBoIbbHWT9+gaqq9upq/NQV+flgQeW8ac/LTnsfTWppvGihnkR1YEg5sV0feBgz4QNGxoOev/8+TsOex0/JH27Q1f7KhRFoGoWJA26OUoZnLOJXbvaaGrwgK/DFFiwdx0LhhnBIjo/xYgKSk01H5dycOv1lBQ7s2adTkGPbLoXJVHg9NLD5ebJgZ+S0bsHzFpuppWOgnBY47rrPuaFF9axbVsTa9fW8de/LuW22z9n8iVj+OiTK7jmmiGkpzswpwYYCGHOwFRVI5YuNAyDcFjDYtl3HWkKDLabM/U6T4tuQBjBdZvexkjvQqOaSKueyKzasTjtGsXhOkSCE6ccQtcFW639EYqCYRjohqBv1729EYQQ2JP3rtnz42cVK7HjIEIYCwoWLDGvLD0MrhMdBPwpGM0RaAigehTUW8bgTjhwRPFg6KrKwt/9Dl3TSMzJoXiNg+zzvsJ26xJS/996Usd9TNdgFxJzc7EmJGBoGmoggD0tDUdqKo6MDBSXC4vLRUJuLhanE0lRzK68aJpOcTg4fdYsRs2cSdlnn+FMTycxN9c0nDUMc/8HquM6AMmFhfSZDBaHQtgrR/25JMq+BEcKKPuJQmvBIGGfDwBHevpRna84cX5uxCNYcQ6Lc8/txdChOSxbVnnAxp7O2zXNrNtKTLThcln59NNSrr56yH4LlvdEN+AjH3sNHOkchqtjiq6DkZ3torTUvd/7dF1n+/aWvRzof0oKM9sY7f8bEy2bcAkvaZIbt5HM36QLsditkF0ItaWmyFIsZrTK0M1QgNVhRrIAkjLM79ub4dRLwXXoYv6TTurKggW/ZM2aOgxVZViuj4TUP5j7PIb2/K+/rmTVqhoqK9v3GLlk8PLL67nqqiGcdFIBs2dP4dZbRzNixL+IRDQzkhIdx6Qoguxs0xU/FNKYP38nQ4bsa9Xweh5MqoTqyO45fSfadW5Y/W/k1CwsyalUN4Xp0O0k21UsER+RFCdqegbOljbaOyxolg7sRoRIcgZFgQ20lTtwZGSgh8M40tLIG7V3mrSZJgQCGRljj2HgAkGAAIpLR1I1bN5GzOomA0MFXZLJOeHoOuGatm4l2NYWM9sUkkRaYha2DY2ooXrsuXlIsikOrVERp0fnVEmyjBEtKk/IyWHsH/5AvwsvZPmsWWx95x00TSOrb19OvusucoYMYen99yMkaS/3dFtSEr6mJho3bSJnyOGb7+qRCLJcixrUzDOkyOgRNRZ6lK2ghvYogAczqqZpsaaAHmeccVTnLE6cnxPxCFacQ6JpOpMnv8qqVbXIhzn9t77ei66bLfdCCHbsaD3kc7aHzaHDMqbyVwAr5vuyCow5hFXDzTePPGDwRdNgxYoaevaczd13L6a19RDhsB+Yqyda+aX8EcVyKb2lUjJppotWyf1dPiA12Qb/8zdTTAV8IO8xk1BSIBw0a7MS08DuNAXWWdfD+b857P27XFbGji1k3ITuJPQdBDlFxySuALZubaaioh3D6BRMErIsCIU0Zs6cz2eflREMqmze3EhhYTJ9+mSQlubEZpNJSbFjtSokJtpISXEgSYJweP+Rk65W2NYd3klt52FRyReZHhYXSdiS0yEUIL1XT1JdoKChqQYh2YpkteLO60lzWldEThK+LoMpOuNMeuca+JubcO/aRe2qVeiaxpQnntjHe8mOAyNaFejEhRb93sC0ctBFELkjiG6AhoyGghTykGh00L/X0TVXGN8fDNpJ1MW9U0yBKYZs0aiboapokQhaKIQzPR1rYiIJOTkoNhtjf/97pq9ezXWrVnHhG2/EhJOuaQf0vjrgOg6AZLHQsFVGtnTWepk2DfnDQItA2Mf+rSSit219913KFi/eZ7uhjo5YlCtOnP8E4hGsOIdk0aIyvvmmBkkCTTu8T+MdHWG2bm2iX79MdF1n06ZG1q9voEePVCZN6r6PEzyYw2eTJXPgbbgzAxb9nyHD6EMEnqZN60dh4WJ27Wrf7/0WiyAS0XnhhXVs3drMa69dgN3+0/wJjLVtxO/owBLxIkcv1omyIF/sgF0bYeRkuPd9ePleM5KVkQ+9RkBHkxnVOnEqjLvYFF+K5ZjF0fHA5wubUZNYB6mBppkdihs3NvD73y8mM9PFBRf0QZIE2dkJZGQ4WbEiHDPINAzQdQNV1Zk4sXj/O9JUxDsPM3n5B2Y6UzdgwuVwxjXw5t9QEtPoNnIovwzU8eLmAvz5eYSxEGoPIpyJ+K+YyJYPv2XJp6XcNKw3hcXFRPx+tEgEPRzeJz0IkEkmqaThxk1KdAZhhEjUdgIsu/xY9AhKmp1QR7S4PCMBSyhIWrMdjnBoNkBm375YXC7CXi/WhAQ8DoUKh4uwJpg47hQq3noDW1JSzBIhKS8PLRxGCIFit+PKzkZIEq6srL1GMHXWXe1J90mTKJk7N1Z/BabLusXpPGIPr4jPR/W6TLqf3IwrUyPg1lDs0H0slCw0C96/j5Dl3R5ehsHyhx6ieKJpWtxaWsrSBx6g4bvvCHZ0kNa9OyNnzqRt1y5K58/HnpLC0GuuoduECcdt1E+cOMeDuMCKc0ief34NoZB6WJ5/nXU0DodCS4ufDRvq8ftVXnttIxaLjK4bPPvsWp5//lzy8/eeZNvXCgUW8Olm56BugBY1KbzDpbJkSQ2LFpVhtyucdVZPTjghd683VKtVZty4ImprNyHL4Pdre9b6IoSEzSYTCmlUVbXz+edlTJnS63ieqsNGqi8jQfdiSNHogGFKSeFvg01fQvfBMHSi+f8/hFGj8hBCRAc5m2Jc1wFFQh9eyPpHL4JAmLptNciKIBzWsFplevVKZ+vWJlRVIxzWaGz0MmVKT8aMKdj/jj59AZa+DWk5Zj2apsLCF+Hiu+D838KnzyHam7jtxCSaTziDJ79WCLUGkDJcJE3sTd/vdlFb305LyM5bJV25ZlAFCdFuOW9jI3Vr19L99NP32qVAMIWzWcSnNNBAMiloaHSnO8X04KtH7iTgaiFybX/syTZkISMFdJL+dzvaH31HJbBkq5XT/v53FvzuNtb1cRFeVILQdBCCT955n66nnY30+byYuE4qKODsZ55h3fPPU7tqFQC5w4Yx9g9/OKSfVP7o0fSZNo3tH3xgRrMkCcVu5/RZs/YRYwdjy9tv882jj9Je1caHv5MZdL5K0WgItgo2vWtQ851AyLs7GM0DNQWiHomY51qWcZeXm5YOmsbc6dPxNTbSUVODoet4a2vZ9fnnGIAlGmnc/tFHpr3GXXeRvp9h0nHi/BSI749W+CkZPny4sXr16p96GXH2IBRSyc7+X9rbQ4f1eKfTEkvT+f2RaJpIwm5X6NUrncxMFw0NXk45pSuzZp2BYRgsWrSTV1/dSGmpm8igLtRcOhopzYU7pBH2hXGtKYe/zseuSBQWpqBHUw7Tpw/n2mtP2Gv/zz67ht/+diGyLPD5Iui6jq6bnWoJCVasVgkQdOuWwiWX9Oe3vx1zfE/Y4fLULfDhP4n1wwl2X3CGToK/Lfxp1nUMGIZBUdE/qK01jSo1TcewSFCYDteNRRnbA0MIdElilM+L9tt3ohFRM9I1alQ+gwdnc+KJ+QwdmrP/i6RhwB3jzU5Kyx5R0KAP7Anw549MweX3gDMJZJnl6xv49V++IsulcEr1ZxS1rqY5aOHl6v5UhtIoSg5w3eBy0hwRvI2NTHrwQYpOPfWAx9lOOxEipJKKhMQ8Pmb7868TfGo5UlEaarcEbJqFrC0SeiDMFQsXHtO4l7kl77Pg4r+gOZ3gsGEIwO9HDmuc/ua99N0pk5CaQe7QobEaqlBHB4Zh7DcadyAMw6B561ZqV6/GmphI0bhxsYHMh0P9d9/x0bXX4khNRVdV6tauRQuF0DUNW1KS6eoOyBYLajBISnExLSUle6UHAYiKu+vXraN+/Xq+fvBB2srLzbtkmZDXi+r3gyRhT0qCqFEpQHqfPmT07MlpDz1Ees8Dd9PGiXO8EEKsMQxjv27b8QhWnIMyb94OwmHNzMTspxQjIcG0beikuDiF/PwkVq6sib1nOhwWwGD79hYSEqxkZDhZurQCXTf4xz++5cUXv6Oqqh2/P0xkeRXivc1IJ3fHkZmIfVsdwY4AoeQE2subEUJwwgm5aJrBv/61hnPP7UV29u4urTPP7MHjj6+kvT1EOKwRDhtI0u5C6nBYp1u3FAwDCgt/Qnf3Lj32+CGaD+2sAq7YRFQV/jRrO0qEELz99sWce+7reL1hAgEDIzMJxvVCGdEVIxQdgCwkvkt08OnLU6le04CuG5x8cleKilIOvRNdg4AHHN8rfrfYwNNifi8rptN9lIHFKWTXNDA7+R8US+WQYd5+Te5q/l5+Cu+3DuKzikym5m3HYreTN3LkQZeQzO7fmzpqqaKKtAtOpunDrWjlbixNPiKhMF4tidPuvf+YxJWOztLlK5FUDd1pj9V+4XQgfK0sXr8O6/lDmczw6BBqE1tS0gG2eGCEEGT260dmv35Htdat772HJEnm8dpsZA8aREtJCf6mJrRIhLQePUjKyyPo8aAFg1w6dy7f/OMffPM9l3uBWSj/7uWX0/f881GDQQxNi0XS9Ki9hsD00NJVNWamamgavsZG5s2YwaUffogSt3uI8xMSF1hxDkpNjQchTC8srze8l8iSZYEkSRQUJNLc7Mfvj6BpOu3tISIRHatVjrXdy7KEYag0N/vJyUnAapXZsaOZWbOW09TkJxLZvWGj0Yv23nq8AsRvJiJGdTMb6Fq8ND6yiJaWABkZZsX7+vUNnH76boHVtWsyM2aM4Lnn1pKR4aCmxkNzsx9ZFqiqRna2C6tVJjnZxqRJ3fd7zH5/hHXr6mhu9rNpUyOrV9eRleXkiisGc/LJx2n24siz4Olb2btnMppftdpNEXEYHYE/N0aOzKO8/BZef30TH39cwtyzhqMNyscIhswLJwILpnv4km++4t7/Of/IdiArpnt91TZzRFAnnlbUniNxb9lCQk7OXpGXxEQbj4xcQ/et5Xg1i9k8YOjYJY3fdf2a1R25bG5IYmoenP7II1ichz/4soUWDAyUlESy5kzH++4qgst2IHLsDLrk1/Qees5+n+dvbiYSCJCUlxeredofOjqRqKDYs3sxegNySKGSSpppIvNo8pDHiGEYNG/bRqijA29DA5Jld0OGPTmZvBEjaN6xA4vNhmyz4W9pQUgS4++7j8TcXIZceSWbX38db0MDhqaBEMiKguJw4C4rw1Nbu+8+O78RIpZq7HSml2QDR1I93oZ6qheOpGji1eC6HsT/kWGmcf6jiAusOAelf//do0vS050EAip+vym0rFaJgoIkCgtTyMlJYN26eiIRHbc7gBAi6u4epLKyLWYqqaoaTU1+LrmkHzNnLsDtDu4lrvbCAOOZZYhu6QhZxkhxoN11JnUPzSMjw4kQ4HJZ9nna9OnDGD26gM8+K0PXDbp3T+Xjj0tYt64eSRIMG5bLnXeeTHLyvnUp33xTxU03zaOmxkNrawBJEvTunU5Tk49bbpnPXXedzEUXHf0g3Bi5xdC1rykUOlOEQoAtAdK6gP3IHLSPBa8PQhFISz4+tfJ2u4Wrrx7KpZcOpNfiZqoBDIEhQMLAouiowkL4049RLz3ryCM85/8WZl8H7gawOjBCfjwtbcxbtQzvq6tB1+l1zjmcdMcdsajHEN9yVJsFNFPMSLKMJskkKyFGdJdZI/XklwseOuLZd05cSFGRLKe4SL7mVJKvORUvXrowbJ/H+1taWPKnP1Gz4v+zd95hUtT3H39N2V6u98IdvR+CAoIoiAUbYoktisaWWGONJvKzxDRbjN1gL4kaMYjYUcRO7/2AO7je9m57mfb7Y46Dk3Z0Nft6nn30Zne+M7Ps3bz3U96feegSxMfmIN5wNCn5BRzFcPrQt1MkSkam9zG9Wf3kbFOAbG0gUBQQBApHZyMQx4fvkAusYG0tH998M20VFQiiSLS11WwSSE3tSO8q0SienBzOffttGpYuxdB1CoYP7xDA3oIC3Dk5RFtbkSwWBEFAkCS0RAJnZia+DRvIGjCAQHU1ajyOKElmilEzLT5ESTId4Q0D0SLjSm8CXcPQZeIhGaKvg1YB3sd/FI0gSf63SAqsJLtl9OhihgzJZcmSehIJDUkScDgsSJJAt24pFBaaUZZIRGHo0FwefvgkolGFm276BKfTgsdjJRxO4PNFUVUNwxAYMaKAMWO68eqry3bpvN5BOIE+YznC2UdAIIaQ7iTWM4fW1jApKXaOOqpgh10EQWDw4BwGD87p2HbWWf1QFA1NM3bZOdjWFuOKK96jqipAPK52CL+VK5s49thuOJ0WnnhiPmec0efAdB/e+E948GLTqV0A3OmmsJpwxTaT0YNIWwD+9jx8Mc9sKOhRBFN+AwMPUOmK3S7z2nE5nLQuimEXkVUFSYKExU5+YxVFG1agxmJ7L7BKBsCd/4av/gPV62jwa8z6fgFiVh4uWUbXNNZOn449NZXh118PgICBRZZwuWRiURVR2uoHDxHByeXXHbfX4kqJRvE26DgyRMKeEE5MURwhggsXxXTr9HrDMPj01ltpWr0aW1Y6WyanoAxJh5ZKWjMiVNoqGMFITmJCp/3O7n8mayevxvLqlx3dlogC+g1nkVtsIUwCN/tmZrqvGO0mpP7Nm3FlZ5tjjzwe6pcsoXXjRuztdVgA4+6/H3d2Nu4fNA4A2FNT6TNpEo1//jOCzWbaTyhKR/ejbLMx8bnn+O7hh1nwzDMYmoY7L494KETC70fXdQxdR7RYyOyTj9XRiq5bQUiQMyAdRAco80DbAHKyJivJoSUpsJLsFqtV4pVXJvF///cFCxbUomk6gwfncNddY5g2bTWffroJXdcZNiyfO+4YTWmpWftyyy1H88gj3wOQmenE6bRw5JH53HnnaPr0yeSf/1xEVVVg19Gr7fluE5w5GCQJBAHZYyNN1nnkkZOwWqU979+OxSJh2THg1cHs2RVUVrYRj2ud6sp03WDu3CrGj+9OIBCnpiawR9PULjFgNPz2OXj3H2Y0xuGGEy+F8ZP3f+09YBhw64OwfB1kZYAoQHU9/OY+g7sm17BhXQ1er42TTupBXt5Opgx3kePcArevmsWT3Y8m6vKiGzo9t6zjqmenkNGjxz7VCgGQXQzn3gbAnLPOQvdkIrcXeIuShDMzk1X/+Q9HXXutmYIbORFmPoXTZkPXTad4Gwn8hpPSU0/jggsG0tAQ4oUXlvDFF5WkpNi46KKBTJrUzxzlU1lJ7aJFWBwOCkeNYu7j/2DuU0+ghMMIFgn7xDLU589HsljII4+xjMNC5w+br7ycptWrcWVn09RdQRmagdCagLiKUBtBKE1lIQsYzghS2VZDlksu99x6N/894RPmff49hihRclJPivu7CREinXTyyN+393EfaVi6lMaVK3Hn53dEqyx2O2ndu5PWowfeoiJcmZn0OfNMMvv02e1ax9xxB5u//JLq779HEEVsKSmklpaSCAbpO2kSNq+XcX/8I2Puuoua+fNJBIPklJWhqyrrP/iA8g8+IFhdjdXRRsSnoikGA88uILW4PS2oi6BVJwVWkkNOsoswSZdpbo6g6wZZWc6OP6qJhIaq6jidOyqXtWub+eSTDcRiKmPHljB8uNnGH4kojBv3MqtXNxEKKXs+sCRguf0EbAMLsOV6eDNDZdygzO38lvafNWuaOO64l2lqiuzyNcOHmzexjz66+MC6wRsGRENgcxySyBXAugq45A7IztiWOdF1nUVffIZDqySjvd7capV46KETGT1632vPQvX1/Peyy6jCigcNh68J0WLhtKee2iuH8F3x8tixyDZbJzsBwzAI1tVxxXffmRGyQAvcOxE2LQPDMC1AJCvB3zxH+snnUr2qnNt+9SKNIRm5oBeKauD3x7jookEca1/M0ldegXaPqGirj7aaKgybhGizoKsaRBN4xg5m8MhTsckOuo8fT/bgwZ1m6lXPm8fHN92EKzOTihMgfmoxYmscI6EiZXqw9s0jQYKJTKKMnb8vftr4iq+ooRoB6E4PRjMGJ4emxkjXNOY/8QRLXnyR1k2bkCwWPAUFpJaUIAgCUZ+P/OHDmfDoo3u1bripifevuQb/li1mTRWmdcSJDz20xwinrqpUfPEF5TMeQ2IhvSd0p/jodPNvlGGA0QCpb4Dcc7frJEmyLyS7CJMcELYWlm+P1SrtMorUt28mfftm7rD9u++q0HWDzEwXkUjbTrsTOyFLpLqtZJXlc2O+zAnpB66WwjAMAoE4Eye+SSCweyuKyso2fvObIw/8qB1BAOe+R4n2hSaf2aS4fVmKr7aSYFMF3nwPmZk6NTUBtmzxc955b/Pqq2dx/PGl++Qv5M7N5Rf//jdr332XuiVLSC05nv7nnktqt2573nl7YmGIR83i9u3Oo/Doo6n4/HNzft7Wl7a2kj1gwLabszcD/vY5LPwYls9BzMhHHD+ZtHiUr++ewjevv0tOQ5giq0jcn0PVwEtx5Lr518sLEOW3yMnL7LBAaFi1EiOhInrtgIAoy+goBD9ZwtqGBEqTn6//8hcc6emUjB3L6N/9jqwBA0iEw4Tr61GjUQjk0lGurYOY6uwo3naw689XCqmcwUQUFAQE5EP8J3zlG2+w+IUXkG02cxyPIBCoqkKyWvHk56PEYpSO33vvNldWFr94801qFy4k1NBAWvfuZA8cuNvP2+avv2bB00/TunEjqSUlHPmbaykd8hRojYCGOauoBaxjk+IqyWEhKbCSHHKCQVPI9OuXSSSSoLFx11EjQQBXmp1T+2dyXQ8LR+5dmcxumTOngkce+Z7ych+bNrXidMokEtpODVUFAcrK9LWJbwAAIABJREFUcvn978ccuBM4jPQsNp0gNM3MvAI0VW1EEGTcTp2lS+uJxVRkWSQQiHP99R/x+98fw+TJZft0PEd6OkdcfjlH7O5F/mZY9Am01ELPodBtgBmBcHrgnb/D9++a8xiziuHCu6CvOS/wqGuuoWbuXIL19VgcDtRYDMlqZdTtt3de32qHUZPMx7I58NBk1q/czOp51UT0PDSrF9UiYgs3kLf+v1QNvAwl4KfF4yJvuxl9pi0AoOhgkUDVoH2sT6TFh+4PIdvtxAMBmlavZuavf01uWRk17aN4WsrL0V+ogjOK0AUDyWVFyvKgoODESSm7cLDfjh+mHw8FhmEw5777CNbWml17uo4WiSDbbLRu2oQgCOQPHUqPE0/s0lpNq1bRvHYtjowMikaNQrbZKBw5skvnsvmbb/jk5puxOJ24srIINzQw63d3c+IDv6f0qKWQ+BwEBzivBOfl+3vpSZLsE0mBleSQU1a2zURyyJA85sypRFW1HSJZsixgsUiMHJjF1NOK2J2htK4b7S7yXYuwLFpUy+23z8LttuF2mwtHoyoOh0wk0nkGntUq4nBYeO21sw7baJ0DTW4WnHsyvPURuJ0gSxCOyVhlAy0eIhZTsdnMa5VlifR0B88+u5CzzuqLx7Pvvk67pHIlPHmtGaHSNZj2kKkAc7pBsNVM8alxU3DVV5iPu96CtDxSCgs55403WP3OOzQsX05Gr170/8Uvdh0h27IGXrgDHC7WbIlgddhwhsK0xEWwulGtXtyt5QjxEJoOXjkObFP2stOBEgx2/GyomhmMkkTUtgBWuxnp1VXVTJs1N7PuvffILSszO+Z8PtoqK4nd+TXaC6ci5HhQJBUnTs7nosMinrrCmunTad20CWg3F2mfiShaLFjsdsb9+c90P/74PTq/a4rC53/4A5vnzDFH80gSzowMTv/nP0kp7loqeuHTT2NxOjuMVLfW8i145g1Kx08D7t/Xy0yS5IDx87hbJPlJ0b17GuedN4A331yJLJtWD1VVfmw2CU0z2sfyCFgtIuPHFvLMc5N2mYacP7+a++//ig0bfOTkuJk8uYzJk8uQZRFV1WlsDJOSYsPl6vxH/6WXlmKxSLjdVmRZ6PD0VBQdj8dKMGh6D4kipKTYeeaZ0zoZmv4cuO1X0LcU/vMxhCJwyUW9mTW9HF9LtMNWI5HQsNkkvC6R2ooGvnjpXU675mykXXULaCqs+hYqlkNaLhxxQifTz51iGPD6vWZ0Ki0XNi42B1gbBvgawFfT+fVqArasgjtPhIx8SM3CffatDL/uuq5d+NfTAAPsLhRVQxQEclMMasIKSlzFYpUwDIGmej/Hji0hbW0EXXMjtof6UruV0rRyBXpCMX3eEqrpSZWXghjo/C1BlGUS4bAptto/ZM6MDJwZGYSbmji+7XwCBVacOCmmG1a6PpbmUGIYBh/deGOH27DRbuyJYaBEIvQ76yx6TZiwh1VM1s+cScXs2Xhyczvek3BTE1/cfTeTXn65S2v4NmzAlZXVaZvV46G1ogJd02heswYtkSCrf/+97g5NkuRAkRRYSQ4Lt956NEcfXciHH5ajqjrZ2S6WLKmnri6IO1pHbuP39E1pxd0cY80Ta8i+555OBcMAzz67kNtvnwWYRqZNTREeeeQ7WlqiDByYxSOPfE8wGEcUBSZO7Muttx7dIdQqK9s6CvPtdgtFRSls2dLe9m0YOBwybreVhx8+iXPP7YfT+eO88e0PoggTjzcfAIaRT8+cYdx//1ckEmYnpdUqke+OUvHFF4R0B9/e+Sjr/3oT57z+eketzfJvVrJhRSX9BuTTb8ETZjRqKzOfghufhaK+uz4RXz00boHUbNNgNRYGUYZIwCz+356OwmXDjGz1GgqxELx4J1z/NPQ5as8X3lJjpguBnj2ymL+gEo9bYnBmiA1aCrFgkKgtnTMuGM5vfzuS5f9sZuWbb3aIJLvHw7F//wvzX3uOeEU9Yp4XCYnMgu60rlyHYRgYmoYoSdhTU2mtrOxkXmoYBpGWFlpdIT4LzkSJZhB3aMjIuHFzBEMpYwgiPx4n//plywjX15t+dFtDzVuNPlWVIb/6VZfXWjtjBja3u5PBqjMzk6bVqwk3NuLK3rWfV6C6mup585BsNqKtrTgzMjAMAzUaJRGJ4EhP562zziLU0IAgCEg2G2Pvu4/S3Yw+SpLkYHFABJYgCLcCDwNZhmE0C2ae5jHgVCACXGYYxuIDcawkPw8EQWD06OIdutPWf/ABX9z9OO5e2YhyCobuYdOsWdhTUznmzjs7Xrd2bTN//vNXgIGqGkQiCcAgGIxz772zsdksFBZ6KSpKQdcNpk1bjSDAnXceA0BZWQ6zZm1qH+MD/ftn4XDI1NQEKSpK4aSTuvP734/ZaWH/zxVBELj66mEMHpzDr371Lna7hTSHQs28FYQFN6XWOjLdOko4xrQLL+SyRcv59VlPsnhNGFEw0FWNY1MbmHpZJvb29CJBH7x2L/z+jV0bPVptHcOuUdvH6cTahZXYPvV7K9vXx2ntHah2NyTiMOuVrgmsfkdD+UJwpTBgQD4VlS00NwUQDINeBSKiI49Tnnqa/LJBABx9yy30PuMM6hYtQnY46DZmDI70dMb99k7ChDEw8H23nNl/+AM2r5dIczOSzUZm375EmpvxFhSgK4o5RFkQaFy9mlAeqA+MJ2ppQVtei9QnGynViRULc/kOHZ1hmI1JhmGw5euv8W3aROHIkWT13Y1YPUhUz52LKEnomoYoyx0O6oZhIDscFB9zTNcX201Xy+662pe98grzn3oKQ9eJBwIEa2vx5OcT8/tRo1F0TcPicJBaUoInzxylpEQifH7nnZw3bRrewsKun2OSJAeA/f6KJAhCEXASsGW7zacAvdofVwPP7O9xkvxvsOL117G53R0dW1sNB9fNmIHWPjIE4IMPyolEFCIRhVhMRdcNdB0SCZ1IRMPvj7FpUyurVzciSQLZ2S5mzFhLOGyucfnlR2C1SjQ2honHVfz+OHa7WWe1YsU1PPLIyf9T4mp7Ro4s5PnnJ5KX56a6vIYwDnrbqjnZvQB0DVFXiflamDLqEpauaiPNZZDqEkiVwsxpLuGBD7dbzJ0G9ZugrXHXB/Skm8Korck0WtU0UBXQ1c7iCuiksERx25BgmxOattAlRk0y3fJb6rBqMc4cW8j44bn0P+tMRtxyKxe+O71DXG0lo1cvBl5wAX3PPLPTGB4XLty4KR41ios/+YRfTJvG2Pvuo9uxxyLb7fQ85RTOf/ddhlx+OZHmZlrKywk3NqJfewQWmwMhriHoYKxuRNAEAgRx4GQpS1BRCdbW8mxZGf869VQ+uv56njvySN4480x0TevatR4grE4nttRUM+rUHkHcKoZyBg/eq7V6n3EG8VCok5iK+nxk9Omzy+hVS3k58598Ekd6Op68PDL79CGttJS2igoS4TAWl4vUbt1QIhHaKis73h+L04muqmz89Kc3PD3JT58DEcF6FPgdMGO7bWcCrxrmb9BcQRBSBUHIMwyj7gAcL8nPmGhr6w5FsoIkoalqR3cYQDicQFF0dH1b1uiHJBIaPl+UtrYYaWkOdN3A74/jclnp0SOdl146k+eeW8ySJfX07JnGFVcMPXCzBg8xX324nNee/IyGhhAjj8rjsjvOJL9030enjB5dzPvvX8Szp/yCuq8/J8VtxUjESQQDppg1wFK9lJPFNSzXTyYqeRFFAbccZ3p5Nvfga1+pPTIl76Fw++J74ekbYPMqiEfYJqR249NnGLDqO7BaIRqBot5merJk4O6P5UqB2142neBXfo3kzaTHNRfSo1/XOth2hWyzUXDUURQcdRSjbrut03Mjf/tb+p19Nh/feCOS1UrbkcVIQY0YOoIkmnVc4TiK10BCIk6MBAneufBCfBs3YnW5EAQBXdPYNGsWX9x9N+P//Of9Ot+9oXT8+I5IXDwQ6BBHgiQRDwRY9NxzHHn11V1aq++kSWz59luqvvsOQ9MQJAlHWhqjbruNRVOnUvHZZ9hSUuh/3nn0OPFEBEFg85emi71ksRAPhQjX1xPx+RAkiewBA1BjMZrXrEFXFNRolE2ffUZqt24d/lyxtraD+fYkSbJT9ktgCYJwJlBjGMayH3RvFQBV2/1c3b4tKbCS7JZuxx7L2unTcefmdmyL+/2k9+iB1bPNK2rs2BL+9rdvgJ2Lq61lOqpq+lzZbDJer43s7G0z/nr1yuDBB/fcUv5j5+1nPuVv932CQ1SwSzrTp7cye9Z6/jXrZnK677vDtygKjDjnJD7+5iMMXUYNB9G2RpQEgSgu3EaY3sHvWZZ6MlhsyEqEqG7BaB/AS1sT9DzSjFLtDk+66Ww/9z2z2L2DbSNtdkBTINwKUREcXrP78NEr4ebn9yyyPOlw2m/MxyEipaiInLIygrW1WHwKmltGjIlomF2IhiQiIaOiYsOO1hKidtEirM5txr6iJCFarSx//fVDKrC8BQWc8MADfHjddSTCYXNuoMVC7uDB2Dwelr7wAgPOPbdTdG9XSFYrE/7xD+oWL6Z57VqcGRnkDh3Kh9deS1tFBTavl1B9PZ/ecgsFw4fTZ+JE4oEAAKGGBlrWrwdAi8fR4nHqFi40U5bb3YN0RcG3aRPh9hRt4dFHH5w3JkmS3bDHFKEgCJ8JgrByJ48zgT8Ad+/PCQiCcLUgCAsFQVjY1NS0P0sl+RlwxOWX48jIIFhXR6ytjVBDA7quc8ydd3ayYBg9uoi8PPcuy3pEkfa0oUEspuL3x7j55qOR5R9P4fCBIBZVeOLB2WTYEqS5JRwOC7kp4A8qvPmXf+33+gMvuZRE6UgqAi4SitEhZj1uKx45Qdiwk6I2IqsRsNgIGC5GptcitDWaacGsYrj4nj0f6K2/wTuPmEOMt2f7f2DJst22rQ9M/VXQCzILzec+nLqfV33w6DNxIrqu4/mwCc0pmhHZhIaR7URzClixEiXCCEaih2Pmt4QffMhFUUSN7No77mDR48QT6X3GGWT07k3ekUdSMmYMjrQ0M50vivg2buzyWoIgkD9sGIN/+Ut6TphA1Tff0FZZiSc/H4vbTaytDX9VFaveeos5997LstdeIx4I0FJejmSxINtsHcX2HUX3P/ympesokQiCJFE4YsSBehuSJOkye4xgGYZxws62C4IwCCgFtkavCoHFgiAMB2qAou1eXti+bWfrTwWmgjkqZ29OPsnPD3duLud0cv0u2anrtySJPPHEKZx77ttomo6i6B1/X0VRwOOxEokoOBwy48aVcOWVQ3c6GPqnTu2GWhLRGCnezr/KLrvAwgVVu9ira6xZ08Qtt3xKi+N8whlVjKh/nUK5kfw0Ea+s4LS0stiXgaqLBPxxYhYbKV6ZKa/cBukJ8GSYhqHSLuZFahos+BBmvw6LZ0EiBkZ7bdH23YIIZtefxWp2GYqyua8AiJIZudr6j+/ymmnGHyl5Q4cy4oYbmP/UU3iUKIFfFMKgbAS3FUMwiBEll1x60gu5SMaRkUGsra1TB60ajx+2rrjUbt2wOBw4UlM7tm3tmuxK9GpX1C5c2JH+j/v9tFZWmrYYsozV7Ua22WhpbkZPJKC901dTlF3XB2yHpqqm35b48/pyleTHzz6nCA3DWAF0FHkIglAJHNneRfgecL0gCG8CIwB/sv4qyc5YubKR559fzLp1LfTpk8EVVxzBoEE5e3b9Bk45pRd/+MMxPP74fPz+GIqiIwgCFotIIqHTr18mr756NoMH5+xhpZ8uGdkeDEDTDSRxW6QjpgoUpe3d95XGxjCffrqRpqYwgwfn8Je/fE0ioZOT64GcvkTn9SXUFsZujSOoGik2gTJvAy2WfI5y+BmcXc+l77xIdkkX05Jv/QW+nQ4Ypu+VsnVU0fY3zXaB5XCDIJm2Dca2NGVHOtHSbn4aC0PB7ocLH27KJk+m9+mn07hqFSvyq9jsacYjehERMTDw08ZiFjFCGMmERx/l3V/9ingohCiKGLqOze3mpEce2WHdeDDI4qlTWffee+i6Ts8JEzjqmmv2S/j8kL6TJrHyjTeIBwLYvF4MXSfU2EhuWRlp3ffsQL8zlGiUcGMjvg0bCNXVEW5qQo1GzcSwYdCwYgW5Q4ZgT09HtNuxezwkIhFaN2wwrSJUdZdr64qCv73oXZSTrkRJDi0H6xP3IaZFwwZMm4aum6Qk+Z/A74/x4YflPPDANzgcVtxuK/Pm1fD999U8/fSpDBu255u0IAhMmXIcV101jIULa/H5ojQ3RwiHFUaOLGT8+H2bnfdTIiUnndNHunn3uzDZXpBFCCUEdE3nl1d0ve5k0aJabrzxY8LhBHV1QVpbY+i6Qb9+maSk2BAEkfDgibTMbSQUWElC0BFESE/3MPms3ng8KrS1gjXatQPWV8L370F6Xrs1w3pA2JYOM7arvXJ6TQNSJQ6BJtPMVAC09udlqynAokEzCnZq14qtDyeO9HSKxozmE6biwdvheSUg4MDJGlYzgpH0O+ccUkpK+Pahh2jbtIn84cMZ/bvfkfoDx/OtRqCNy5fjzMwEQWDt9OnUL13KOf/61x7d1btKSnExEx57jC//+EdCjY1gGBQfcwzH3X33Pv2uqbEY7//mN9QvXowaixFtbd1BMCUCAbZ8/TWOzExyBg1CCYdx2Gy07iR9+kMEUURXVbZ8/TXdT9hpMiZJkoPGARNYhmGUbPf/BtBFW+Uk/0sYhsHLLy9l6tRFbNjQSjSawOOx0bNnOhkZDtraYjz++HxeeWVSl9fMyXFz2mm9D+JZ/7j53Qs3YZ18P+8uFtB0gWxHjD/+OpcBF53fpf01TWfKlC8QBIN161ranfTN51aubKKtLcaQIXkYzlRW9rmKy4veIDuyCVdePgXFmUiSaEaSDN0UOl2hep15cxRFM/3nzTANQA0RJNlM+4miKcB+OxUEEebOgNn/hoh/m28WmAJtxZfQbxRc+VDHjMKfAjrbCvoNDFRUs+h9O/KHDeMXb765w76h+nrUeByry8WSl15i85w5eAoLEa1WBMCTl4d/82a2fPstpePGHbBzLhg+nAvfe49gXZ2ZLtwuQqZrGrULF9JWUYE7L4+io4/erbjbOGsWTStXktKtG1a3m5qFC7cWUHZ+oWEQbWriiMsvZ/3MmTSuXo0gSeg/rNn7AZLViiCKNK5alRRYSQ45yZhpkkOGYRg888xC7r//K5xOmUAgjqbpRKMRWlqipKU5KClJYcWKhm1daEn2iC0jkzve/wc3rl9JuK6e9H59EXOK9rxjO5WVbfh8EZqbI8RiavtMx22ZuJqaIL17Z2C3WxAlkZzLbqPv5/dBSipI7b5IrY2ml1VaF9Ox3ozOP3cbCJGg6d4uipCWbdopFPSBwWPN+qv8nuYYnojfnEWIYNZgGYZ5Q26qgv6ju3zdhxsRkRJK2EwlFqw004SCio5GKmk000QmWTvsF6qvZ/b//R8NS5eiRKMEamqQ7faOphCL00lG79440tMxNI22igo4gAILzMiQt6BzTWMiHObD66+naeXKjpScp6CAU594grmPPcayV15BjUZJKSlhwPnnUzRyJJu//BLJZkMQBKweDxanEzUWM2utdjiowMo33+TC996jac0app13Hr7ycjRV3al5qWi1Ilks2FJSSCnq+u9DkiQHiqTASnLIePjh73jooe+IRhUCgTiJxLZv6rpu0NgYprExjN0u8dFHGzj11F6H8Wx/YggCjj6DcPQZtOfX/gCrVcIwoK4utNPnDQM2bPCRleXilFN60ufMseBtg5lPA+3ipnQwTN6LAbs9joDsYlMUpWSaoqqwj9l5mJZj/nzkBDjjOlNcgWkkKltNISaI24rnDd302WqphSWfw/BT9vo9OFyM4hgaaKCaKnR0BEQsugVZl5gpv8dFXIyNbcO1DV3noxtvpK2yEovHQ/3KlTTlFqPJFjKam5F0HS0ep2H5ctw5OdjT0kjZ1dDrA8zSl16iYdkyPPn5HV+OAtXVPD9yJMHa2vYLMGhauZI5q1aR2a8f6DqSzQYZGUg2G1aXC2Vrh2RHutjoGNETDwQQBIHs/v05+tZbzfmIoogWi+1wPrqiIHq9pPfokYxeJTksJAVWkkNCeXkL//nPKmRZQNMMotFdF6bGYhqXXPJf5s+/ih49DlyB7k+FVjXBAv9c/Go9qZZShnuHkXIQ7SUKC7307p3B8uX1AIjt5qAGAoIooOnQt28mU6Ycy+jRxQiiAOMvgZFnQm256daeW7rHephOSBJc9xS8fh+ULwAEyO0Ot74Exf12vk96nimmlPiO1liiZNZmNVfvy1tw2PDiZQRH04oPURWI1TShVrfQqoNYmMoq+1yG5h3X8fqGFSto27wZZ1YWyzbX8f7fXieQWwS6jjUSZPxjUyhavQhd0wjW1eHOy9u7MTb7wfr338eRnt4p8izIMsGaGoR2MWxsdaA3DMINDXgLCgjV1eHMyOiIvEV8PrMOq73GShBFtoZV+511FgC6arrcYxjoqgqCgGyzoWqaafXRfg42r5dTnnwSm9d7SN6DJEm2JymwkhwSli6tR9fB67VTVxfe7WslScDvj/P884v561//t755VscbqWz6NQVCDcVoqIrE95HBlGU/Rp7VtecF9gFBEPjrX8cz97tKNlX4O1y6bYKKgYDdKvPkk6fQq1dm5x1dXug1bOeLqgo0VJqjbzJ20bCQlgM3PG3OK1QVc9jz7kRafk/oM9wskCe0rQ5LENojWhbofeReXv3hR0PFZtgIL9uAGomYNUsCJOJRvn/jaXpd1os106ez8o03iPp8xAMBVFFkxk1/JeL04PQ1IRg6CYeLT+74O+fddC6pwVYcGRnkDRuGbLPt+ST2k1BDA1GfD0EUke32DpEVbfc27KiX2i4qFQ8E8I4YgRKLoSoKiaYmDF2n76RJbP7yS8L1puA3ADSN1JISht9wAwCL/vlP1rzzDln9+9O4ciWqpqHG42AYWNxuZIcDNRZDtttZ/fbbZA8YcNDfgyRJfkhSYCU5JLhcVkSxaxEOQRDQdZ3Kyp/xeAtNhbXzoHGzORev/yiwWCn3PUi2UEOY9lomwaDEWMx832ucmXvwXMeLilKYf7/EdXesZUZ9T3RDxEAk2xbm76OW06tnF8xCt7L8S/j3HyEaNiNOPY6Ay/5spgJ3xq5c3jUVfHVmF6Erxbw5X/EAuNPh7b+Zz0sW86Em4KhToceQvb/4w0wW2aiRKPFIBEu7GDIASZQxltXzr9NOw1debl6/rqNEo/jiKjoCLn9rhyC2RsMEXR42HX0C48oXYvd6cWXtWMN1IDEMg/lPPMHy118n3NREpLERW0oK2QMHItts2+aH7syrShAINTYiAOe2Wz9YXS68RUXEWluZPWUKa6ZPB6D3xImc/Mgj5sBpVWXFm2/iyspCslqRbDbqlyxBjcUQRBGr04kaj2P3eknp1o0NH3/MqNtvx+o6OF9QkiTZFUmBleSQMGZMMU6nTGtrtF1oGTurSwVAVXUkSWD06J/mXMA9Eg7Ak9dATXm7SJAhsxDjhifI1r8izPZCRCAqpJOtvgfsKLAMwyARCmFxOk1jxv0gvfIbnj+rjt9sqGZujZMUq8LxPRP0yEhsq43aE7Ub4YU7wO6E1CzzxrpxCTx3m5n+62oa8bNX4d3HTOFkdcDQk+CC35sRsUv/CKdfAy/fBcvnmMc68TKYeMPepSl/JGSRRU6dm7YsG5pmpoJ1m4hraQhlQRX++npkux3Jss3JPhaL0nPOTCqPPQ1DNTvpRCWBo62FeEo6oZoaBMOg9+mnH9Rzr5g9m6WvvII7JwdnZiYNqkrM56NuyRLSSkvJGTyYqM+HEo12CMSt6IkE9UuX4khLY/rFFzPh8cdJabefcKSnc9rTT3Pa00/vcEwlGkWNxbCnpJivTU0lp6yMmvnzMXQdNR7H5vWS2bdvh3eYGo0mBVaSQ05SYCU5JHg8Nh577BRuuuljKira9mS+TE6Omyuv3JPV6E8T7aNnoWo1Qno+otBeW9VUBTMeQzyxvfZpu9frBkg/KDoyDIMV//oXi59/nkQohM3r5YgrrmDQRRfte/el3YPLVs9xw9M4RjMQBJtZj+VvMq0UusL3M9qLzq2m2GprNGcG1pTDxy/AhCt2L4KUBDx2NXz9tllXJYrg8MD8902xdeWD5usy8uDWF/ftOn9kCAiMM46n/ukZKBO6IQgC7nkBXIsD1AQCYBidTDKtLhf2WIKCNUvYNG4ioqLQd9Y0un/zKbISBwGCdie5WVnkDjm4Eb3Vb7+NxeHoEPe5ZWVE29oI19cz5q676HXqqWz89FP+e/HFxP3+ztctSR01VBGfj09uvplffvTRNiG5C6xuNynFxUSbmztqq5zp6bhzc9FiMXKHDEG2m5/XmN+Pt7AQR0bG7pZMkuSgkBRYSQ4ZQ4bk8tlnk7nvvjk88MA3KMrOVVZOjpOFC6/Cbt/9H9qfGgYGK1lB+oIXWVPUm1pvAX3CQY4KtiGmZiEsnkN0whhc6jdEhJyOfZz4aLFd1bGOb+NGpl1wAfXLliG1jxJJKy3l+/YUysALLti3EzzuPDMqZPcgtd/8aG2AQWPNFF1XaK03RVX5os5DmyUZ3nkY3Kkw5txd7z/7dVj4sdkVuNWdPRI0o1jL55jDo1MPbtrrcJDVqw/9HWVsnDILe0oKgigSamvDnZtLW2XlDjMJLZpCnsOKVtKTni88TL9P38EQRXRJQkooiNEoq/xR2iorSS0pOWjnrUQinSKngiDgSE1FVxTyhg5Fsljofdpp3FJVxVvnnINv40b0RIJIczO6omAYBnG/H7+mEaypYe277+ItKCClWze8BQVEWloo/+ADfBs2kNW/P93GjqVx+XKyBw1izdtvo8RiWJ1OEuEwKcXFyFYr0dZWZLsdLZFAlGXG3HVX0vIlyWEhKbCSHFJkWeT++4+npCSVO+8peAtFAAAgAElEQVT8jGAwgSyLyLKIrpujbh5++CTy8jyH+1QPOOWs5zP9exaNvI+VGf3NMR8YDPWt5e7FD+PFh5F2MoZvA069HhkVzZAIS2UMT58MmOJq6rBhxNsjG5qmEVNVmtevJ2fQIBY99xwDzjtv3+auDTsZqtebImer2WNpGVx4V9fXcHqhcQs7tPlpqjk/8P1nYNQkU3D9EE2F954yfa62zhe02EybBn+TWasVav1ZCiyAcX/6EzllZax+5x30RIJ+55xD3rBh/Oecc4gHAh3F44lwGDUeJ7N+C+c8fTfG7I8wRBFDtiDoOrpsMa0Naqt569LL+MWLL5Deo8d+n59v40bqFi1CdjjoNmYM9tRUepx0Et8/+ihWj6dDxCSCQdzZ2XgLCzv2tbrdONLSSC0qIlBbi97eTSi22y+IFgsxv5+Prr+e1NJSDE0jf8QImlatQgmFEGWZte++y4c33IA3P9+MfokiuqLgzMqix8knM/jii7F6PKybMYO6RYtIKS6m3znnHFSBmSTJ7kgKrCSHhbPP7scLLywBwO+PE4upOJ0yDoeFk07qeZjP7sCRMGBmAN4LQQUWFGMcrcUyxQ2bMCwWVHTmZ/TnjfwJnNJ9EV8m1lH+7gS6hYKU9jc45pjRDPCOBsEc+fH6yScTDwbNxQUBo33wrRqLEQ8EEGUZNRbD4nTu/ckKAky6EcZeALUbzGHNhb33rq5p/SJ29FBop60BPGmmmegPC9sNA167B2rbR+boOsQiZlrQ4TGHQEuy6Z31M0WyWBh00UUMuuiiTttPefxxPrrxRmJtZtOHlkjgLSwkq29fMsJNrI2GUS22TvVNhiRhjYSo92SweOpUTnjggX0+r45C9tdeQ43Hifh8KKEQOWVlHHH55WT170/zmjVmAbqmIdvtjL3vvh2iRqXjx7Po2WdxpKfj27DB3NhusZAIBjF0HU3TcGVlYeg6q956C5vXS3b//gAEampQo1GUaJTMPn0wDINQXR29Tj+d/KFDaVixgpSiIgZfcgllkyfv8/UmSXKgSAqsJIeFtDQHDzxwAnfe+TkulwW324Ikifzxj+PIzv55FKMaBtzZAHMi4BGgNmGhKp6PO9pEblzHqiWQJcjQmpnZ53Ssjgz+0s9PqFVH0kDUVIrcM/h6ygyyLruFymVrCVRXm95AmDe+rZbruqIQDwbN7i2HY/9OPDXbfOwLgSbTMmH79CDtcwXVhFmk7tyJJ1FNOSz6FDIKTMNQXTMfigKEzBE8k37b9VqwnxH9zj6bXqedxpZvv6V10yYWPv10h4u6KMsYdgdiQkGXJUAwJxDpOorTTbrbSd3ixft1/LrFi1n26qvYvF58GzeSCIXQNY0t33xD7cKFdDvuOI67+24ali/Hk59Pz1NOwZOXt8M6A847j42ffEJLeXln53XDQEskEGQZabtaMy0eNyO1gKYoxAMBLA4HkZYWwExHWlwuvrz3XpyZmaixGEokQnrPnkx88UW8+V0cOp4kyUEiKbCSHDbGjOnGxx//koULazEMOPLIfLzeg+/Zc6hYFoevI5Avga4ksC6vQCjxEransIVUPEYE2TBI+DUCMYHHzq0gHE7F5tKxKBqyYrAl5OT6Z+t5q+0qGlPHIogiAmaB8PZDcQ1dR5RlRtx44+GtNzniBFg7F5DaRdZ2MwOtTphw5c7Tg9XrzP/mlEDYb2oyVTEfVrs5j3BU1+dT/tyQbTa6H388rSUlLJ46tWOUlCAIWPv2R1nSHjmUZQRFRTB06sacRN+aCjzdu+/XsTd99hmCIBCsrTVd1rcW3bd/5ipnz6Z+8WJTJFksLHruOYb86lcMvfJKWtatY/Hzz9OwbBlWl4uS8eNx5uTQuGKF+Q1EFBEEAUPTMFQVe1qaeVBB2OmsQU1R0BIJqubOBcNAjcfNIvmWFtRYDFGWCdbW8tIxx/CLt98mf9gufNqSJDkEJAVWksOKx2Nj3LjSQ3KsVj98MQ8y02HMsIPf0b8uDqoBiVCAhuXL0QMhnCnNBDNzibvcWBrbQDcI5xTQc/nXfOtzoRsaakJAEiVcko5N1vm8JhujdQlehw9bSgqxtjYMVTVFVnstiz0lhTNfeOGQuXbvkjOuhY+fM6NQ2yPJcNmfYNxFO9/Pm2FGvmQL9DwC/M0QC5ldhZf+6X9aXG1PamkpqSUlBKqrES0W2iorsfr9NPQeiKd2M1I8juJ0UX/0eIYSRYlEGHL55Qfk2LG2NvT2z117TBI1GkVXFMINDR2vq2lqomHpUpY8/7xpkRCLEaipQYlEWP/++2Z931Z0vVNCWYvHATM6ZXW50DUNwzCQLBZku51wUxOCJKG1tmLoeoe/1tZRObqiIDscRFta+OyOO/jlhx/udth0kiQHk6TASvI/wT2PKfz9JR1FMVMTmZ44M/9p4Yiyg5eOTJeAeIyG5ctRwhEEUSSjYQuRzCziLgeGM4Oo6ESoCuN7dAmakQcYyIYOmkBIF7FLOqJkRoFKS9JJ696dlnXrUGMxNEUBw8CRns61q1bts6lkPK4iigIWy/75aAEQC5tpPiUB4TbzBmhzwoVTTPH1A9TV89ny1B9pXb+WVK2Nbt38yEU9zRRlUDa7B4eftv/n9TNBEARO+NvfmD55MnWLFoEgIIoifcItKL16oY4cQ3xzJcfUV2BzOBg+ZQolxx2354V3Q48TT2T1228jbmefYBiGWai+M78Vw0BTVWoXLNi2TRTNxgtR3BZ53X6ieDuB6mqzi1KWyezXj7TSUuqXLEGQZbREAkmW0VTVjNLuZH8MAzUaRfJ4iAeDNK5aRd4RP0+7lyQ/fpICK8nPnvfnGDzwnIakx7CLOoKh4wvYOWNyK5UfNiIXHJwI2jFOkOuqaXF6cSQSaIJGbFAh+VIV3b7/iLnze5Ko9CPP38iaWHb7N3kBwzAQBQNDh6ghckL3NrP9ve8QJj5/OrOnTKF5zRo0RSF70CBOffLJfRJXVVV+HnzwW+bOrUYUBU4+uSe33no0KSn7Uef0+evmf/uN3LZNScDc98wC+u1qqCIL5zDz/LMJhBMYggS6infdJiaOVXBmZJijcS65D5w77yhV43GUcBh7Wtr/VBt+WvfuZA8aRKy1FYvLhc3rxeJwkAiHkdYt4/x33iEeDOLMyOjkn7Wv5B5xBEMuvZQFTz9NWBC2pe124c6OYXRKXwMdkSpJlukY8b6T/V25uUhWKyN++1t6nXYa9pQU2ior8VdX8+E112BxuWhcuRJRkjrqs3bAMJAdjo4UapIkh4ukwErys+eRZ4MYuoxF1LGgggASEVqVVGbddDOn/P02KOpzwI/rEOGy//yDf4+cSF1OEfF0kQyxmaGLp/HBX6xoda04ZA1R1QnhQEZFRUZHxDAMDMAiGjwxciFkd4OBx5JltXHetGmE6uoQZRlX9r4VoweDca68ciZtbVGys93ousGHH5azeXMbL788ad9vTJtXguMHUUGL1bReaGvc1gWYiLHg1qvwt4XweB2mMalgJxCIMG8zjHty5i5nE2qJBAueeorV06ahKQqu7GxG3X77fkdqfkr4ysvxFhZ2Sn9ZXS5C9fXomoY7pwuu+11EEASG33ADvU4/ne8efJClr7yCGovtPIK0O9o7XrefR7jdQZBsNjJ790aQpE6dlKklJaSWlOApKCDa0oJosezx82n1erG63WQlZxAmOYzsg1lOkiQ/LZqaVQR0tn133vbNti7khBmPH7RjDyzI5tJnpnD7v/7CJd5XOKv+KbZ8Hicel5CsglnIIhiI6GhI2IhTYA+Rbw9S6mjlrOJqCiecDjdNBavZACAIAp78/H0WVwCzZ1fg85niShQFZFkkN9fNmjXNLF/esOcFdkVBb4hGOm9TFbO+yts+Aijsh4cms2HFJpxyux1D2PS+crkdbNxQj2F377JIbt5jj7Hstdewejy4c3JQwmFm3X47DcuXd+kUG1T4MgzLY3unD35MpJWWkgiFOm1TolFsKSn7ZtGxC3RVZd3Mmcy4/HK+vO8+SsaP5+RHHyWluJiM3r0RrdbONVU/EE0//Dfc6nm19XnJZsPicmF1u3FlZaHGYqQUFe30XIZcdhmaqppRsPZarZ0iCDgzMznxwQf36AqfJMnBJCmwkvzsGTckjI7U6Y+/akgIgs7YvDWwfsFu9t4/Bl98MbLFgqVyA14xgt3rIdhqx+a2INitiC7zBmVDQUBAFCWKnCGKnSHSnAI3X1xgzuDb1UDkfWTzZv8O23RFIVhXx6uXXMfrJ5/MoqlTzUjF3nDCZPOGG2w13+9EFPyNcPzFYHPAqm/hvkmw5DNESQQE8/WGAbEwhqYhyhbztTshEQqx+r//xZ2T03HztLrdCKLI8tde2+2pGQY80QJnbIE7GuHKWrigxhRcBwrDMPBXVeGvquoYwnwwGHr11ajtNgaGYaBEIkRbWxl61VX7PZNyK4ZhMOfee5lzzz34NmygraKCb/76VzZ99hnOrCzSe/ak4KijsDgcO4phQUCyWLC63Z0EmGixmAOaLRYsTqfZFSuKSBYLnrw81FiMoVdeudPzGXD++Rx17bXmvML2eq6O4273c7+zz+aSjz8mb+jQA/I+JEmyryRThEl+9tz3hzz+M6uJgOJFMjQMRAwELvG8REmGAtaDN6csrXt3znj+eeY9/jhtc+qJj8+jz7Gp1G8WifhVdEnGlmrBFghhqBrp1hiioNM7PcZvyjZx1NEX7vOxV6xo4NVXl7FpUxtDhuQweXIZ3bqlAtCvXybbG4IaukbD0iUUqC00CwLzwlZan5hK86qVnPSPx7qeMizoBTc8A9MfhYoVpjCcdDMc/0v44Fl4+2FoqACgT7rBijqw2ySCcYNoPAaiwoBTTtylE32ooYFIUxPB6mrArNlxZ2djcTpp27x5t6c2JwIv+yFbArk9u1WZgCmN8NwBsEzybdjA53fdRVuFeX2p3bpx/J//TEbv3vu/+A8oOOooTn70UeY99hhtFRU4s7IY84c/0O/ssw/YMVrWr2fDJ5/gycvr+Pewejy0VVTgzssjWFODIz2dguHDCdTWklpSwsALLmDjJ5+wdvp0U0zZbNgkCSUcxurxYHU6sXm9lI4fT2bfvqyfOZOWjRuxOp04MzMZcdNNFI4cudPzEQSBYVddRdkllxCoreW9K64gVFsLoki0tRV0nayBAznn3/9Odg4m+VEgHMxvWXvLkUceaSxcuPBwn0aSnyFVG5q4+9ezWdDUD7fg54qsN7hsyBosUT+ccxscvwv7gANIjBgf8QGbfHW89MsATRUa4XpAkzDicQam+Hj7tKUU51hAiYMgwZS3Ia0L9TRqBairQUxlrjqcv66N8eXaVlybm+m2uAJ1sw+bTeaVVybRvXsa8bjKxRf/l02bWklPdxJsbMBatRKf4sIhqWiGgIHA2XmruObdqWT27Wteg9+PKElmZGJPaNq2KENrA9w+Fuo2mNsxSKjw4RqoaoNge0mP7PbgKe3BSQ89RPcTTui0nK7rvHPBBaybMQNBkpBtNgxdx5mVhT01lQHnncfo3/1ul6fzy2r4Imy669tFKLZAugiNGrxXDLn78XVTiUR488wzSYTDONLNaGO4qYloayvO9HS0RIJuxx5L72t/ScirkO7OxeEoxTAEMvfjuEb7sGRRlg94QffaGTP46k9/wpOb22l7oKaGYVdfja5prJ85E4A+EydSdumlWF0uDMPg+7//nXmPPUY8GESyWOh39tlMePxx4m1tyA4HNs+2xgVdVVGiUTMSuRfXEG5q4vuHH6biiy8AKBk7llG33bZfqfMkSfYWQRAWGYZx5E6fSwqsJP8zaBratEcQvpnWnkYxYOxFcMZ1cIDSKnvCwKCBBjY3NfLJa/Us+rIFi0Vi0induEj+EHHxx6bLdWEfuOAP0K3/HhbUIfQ3iE0H4KP4aP4vch3CwiauWjCVob7l+K0pzGs7gplb+nDs2B488IApXFpbo7z44hI+/ngD9or5bG7QyLbHOrIuqg5+xcqLfx1I8cmn8tX999O4ciWJUAirx0PRqFH0P2Esxf27I6TngjvNLGjfGUs+h/vPgWjQrMfSzREpccWgIQifb7aDJxNbnzKUSATJZuOi99/vSHcZus7MX/+a5a+/jpZImO+RIHTM58saMIDzp0/vcDj/IRsSMKoCojrYBdAwH70tIArwViGU7EfQY+OsWcy+666O4nJNUahbtIioz4dks4FVRrl1GMYp3cHuwJ+VTwtFbIicQx+rk3uyoPRHFnTZ/NVXfHrbbTsUzAfr6znu7rvpc8YZu91fiUQI1tXhzMzEntLFYeH7gJZIACSjVkkOC7sTWMkUYZL/HSQJ6fzfwem/NiMqabng2snYloOIgEAuueRm5TLilsFwy/bPjoALf29Gr5zerjmhJj6H2DQQc9Gw8GhsMiUt67nlo3uwotNqS8OCwpl8RFpqI+8s2lbblJbm4NYLsrhVfYq//KuZerEYi6CiYo5ckUXTUH1zeRPL3rkaJRwmHggQbmhAr66mdc1Kqv49lX7/396dx0lVXgkf/517q6qrV3qFhl5YhFYaUBFkcRujcQODuGB0ooLGOCQmk8w4o2FM5hNjnNfERKPvTHR8jZpMSAxRHKMYF4wRxEjcsWVR9q3phd6X6lru8/7xXOhm6YamW6uR8/186kPXrVu3nn64NKef5ZxChzNHAYMGw/nz4NJ/gvXvwutPQnsrTDzXZmiPttsP9vzNBsbgGRiaBaWF6VQPHQd+gsmWqioi9fWk5duF8dveeINPliwhEY3aoMtx8BIJ4u3thHNyOOXGG7sNrgAea4Cs9lZobsJk5RBICeMA62MwPdWOZvVFpKFhb9JXsKM8HS0tNjVBMEj80jF4M0dBZQsdWUGaCwaR7e5ktDzHuo4r+YdKeLoE0gfQqtjiadNILyigtaZm799DpL6elMxMRpx99t7zIg0NVDzxBJv/8hfCOTmMv+oqhp91FsG0tH4pMn0oGlipgUoDLHXsSR9kHwNRKNy7enuR/wVJA3Gp8zJo8DKY88FLhL0INWmFCEKHk8KurELOavgr7w25oPO9bc3wwHyItpOXV4i3WXCMR1AMMQIYz4A4uMTpaGoilJ5Oa3U1bkoKgY424pEogbCwZjuUF2WS11gNz/4Clv0eAikQTrMZ3J9eBaXlEEyx9QhFALuD0hGDQWgpOgkcG+UkYrHOBdKVG+Fvz7Ppkd9imhs6cxuJ4PpBlheLkTtmTLddlIgnePnlFbRk5SOeBw11OG4Ar7iUeDCVW/LsKFZfFJSX2ySanoc4DpG6OkwigYjYAtyzRkJTB54bRGIxQh0ROgJhsjM2k98aYVcizPI2uPAwZl4/K24oxMyHHuLV73+fmtWrAZtJ/pw779w7xdfR3MwzN9xA45YtpGRl0bhtGztWrmTKN7/JxH7KIK/U0UoDLKWOArt3t/Haa1vIyAgxfXoxmZl+zUYTw44zQaa0E5Q4xVVb8FJDeJ7BcQQjDl4C4p7h+tldivB+8Gdoa4LcQmZM8HjsA4c2L0iaEwWToMlkMDTXJa8om0rYu2NNROwoG+B5Nq9RVU0LeUMMRDugqdYGsGMm2WAxNRO2rrEjhu3N++zmDAaEbY1CYxoE02xw1VpTw0nXXkvg3Rfg8duhZivu+g4yJEbCgZgHRvyhHmMwxvS4Y+xnDy9kS9EpBJsaCOAhxtCePojsDRWc7lVyVkcmlJ+2Nw3GkSgoL+e4885j/YsvEkpLsxUY/RIvTiCASQ1AwsM4LohgHFtuBjGYRIyECffrbsb+MqikhNmPP743v1bmsGH7rJP6ZMkSGrduJX3IEOo3baJ11y48z2PpggUMOflkhulOPnUMG0AD0kqp/Rlj+N73/syoUfdz3XWLueKKRUya9DDLlm22J6RcBKYVjCEsMa4OL2Pt4DIynQ5SU4N4Ah6QuruJ4mEZTLuoy1KB+iq/IDOU5CT48QVVmEAKuxMZNEo2JYPD/Of/zKPwlMkYwHFd+5/rngDJQNC1z0OO52+V93MfxaOwc709T8QGVtVbIBjunPp0gzjZg4nllIAxtFZX09HUxIlf+QqnXvf38Lu7YPcOCKQwutQugC5Ig7BrS7TsKXBdOHEiKVkHn+qtqqhgUaMh3N5qmwYgkN5cRxyHBc/eTvDuq0jcdg7NrzyFt38G8sMkInzhhz/kCz/8IQXjxlE0ZQppBQU2uPI83Fe3waAwbiJBJDsPz3EIBqO0NA8CNwNXYOwArnOeUVhIVlHRAYvQt69cSdXwMpZ3uGyqbybS1EQ8EiHa3MxzN91EW21tklqsVPLpCJZSA9jiXy3nd/c/z7hgMykpCRpNFpt2xfna155l5cqvkT1oJkRfhehfAY/5KY/zm+kXEKkYRG68kfa0TErrtzEkvQ5n2px9p0aHj+vMxi3C35XFeXHEdtaubyL8ldsomzUDcRwS0Sj5ZWVUVVQAtkQNHqSlunjGI+QYSvP8PGNOABJRO0XYYrfOE22H2u0QzrABXWoGRCN2yrBoDKPHD2HUbb+jtbaW8J5Eme/7o2vGgBenMNTBpSc7vLE+QYcHECQuQTKLijjtllu63X32wWOPES2eSiARIxRtJxIKY8QhNd5Ci5dOpmOINTVQW70KWTWPP/14ElNuv+OIssI7gQBlM2dSNtPWTlz91FO8smABzZWVuL9ZTWLqUGRkNs6QdNy0GLFogK1tF1CfIkxNhcl9qFCUDPUJeOCir7KqKQrxKJ7jMnbpYs545Mc4sRiRpiY+XrKEk+fOTXZTlUoKDbCUGqiiHey8/wdkOWVkB9rwcMiVBsIpESoqA6xYsZWZM8sg6+cQewti7xNw8pl34jlEb/t7EvfeQHjTCsQN2Czqa96ART+BK2+1gdUJU+G4iXZBelomGENKWzMnzbwILpm5d6Rpz1qcDxcupOL3v6d2zRpC2YNIjdQRkg7OGy2ExANcu+bKDfgL2f2Rruqt9lqFI2DzR+D505rRCDTWwo334PiJJvcKhGw6h2g7xOOAYXAqzBoPde3wWl02bcPGc+rNN3P8rFnddmH9xo2cUBtnxay5pLfWkxK3+SBaU7MYVr+d3F0bbJqDUAYBEgyO1bD01luZ/etfk39838onlV9+OWUzZ1KzZg2x1lbc7HTe/vgFtn2ynarccawtvpSCrKFcnwFXZPV9Hdhn7a4aeD+3mPT1ryOA57isPn8OBevXMPbVZ2jfvZv6jRuT3UylkkYDLKUGqoV3kJWowxjBQxA8gnikCYQS7bS3+9NZ4kBoqn34Qm6tHUmacJZ9vW6nnRJ85gEYfQpMOs8GQl9/wO72+9sS+/y0y2D6rAN2MKZkZjJ5/nwmz5+PF4+z++OPYXcleZtfx3nl13YqLy0T8oohKw82fmCv11Rrpw7zS2yg5TiA68dexo5mle23w7lyIyz/g21z3C8sjJ3fczDkpQuzb78L57y5yNqV8Ns7wXFh8oX2e+vS9oLycqb95nE+mTCV2hFlBL04CcclFIvwg6V34kUiSMAlLi4BEyecEsA0G9YsXsyZCxb0+a8wEA4zdOLEvc+Lxk/s4eyjR3MCXmqFRHOzP3pocEyCUFszFTO+zNhlS4i3tTFYawGqY5gGWEoNRIk4vPE0p+Y04GyBuLcnbYLBJDzSQobp04u7f/+G9+x0XLQDKpZ1pkYAuPMyuOVxOPNyW5Lm3Gvt4zA5gYDdNUc5nHkufPk2+H//AmtX2hPamuDkc+CaH0AoFao2w8/mQXPd3jVfALhB2651b0H5dHusdgfcewNE22ygVrvdP9nsHRATBHfFU1BfCa8vtjnMjIE3nobzr7d5zXwnnTONTY/ezw33f5uKcdOpPuFEhrfs4Madf2JMvBrjQF2bwaTbvFp1TjZuKEHzzp2H3R/HohjQ5oEXCNrdkyJ2aZ6BaHoWCRFS09IYfdFFyW6qUkmjAZZSA1FbMwDH57RxTdEq/mfHiXapFOCIx9fnjaaoqIccXuEMO3K1esW+wRVApAXuvR5KT7DrsPoqFIZv/F/YXAG7NtrdgmMmdyZvLSixI1ldgyuARAzqKqGhS3Hp156ASCvkFkJLk/0e9vzPLY4dqfISULHCBmN5Q+0xsEHpy4/D1C/B4FIA8nLTmHXuKN5a14S89Weiy5/n5NIgBflREmGHlqjBGEhJtLMjVEwjmcQjuyiZPr3v/fI5luNASRCqc/LxUsI4He0gDh2Zgxi79Glc12XGgw/uk7FdqWONBlhKDURpWZBXhNtcz7fLPuTvCnawrKaIsBPnjDEJJtz3YM/vH38mxGJ2N9/BtDfDPdfB/3m5fwpJi8DICfaxv/oq6Gjf/w2AgcYaGNolGeWmCps/CyB/mC2tYzx7vuNn3xexwVtzHRR0GcVzAzYY2/De3gCLYaMpyElhxoXjWL2uiteXf0JVIkzV9gg5paXkJmppr6ulJpRPS04h0ZZdDCotpewQWcqPdSJwzxA4LxKg5sQppG/dAPE4uds2UL7sWb74wAOMv/LKZDdTqaTSAEupgch1YdY34Tc/wG1rYlKwkUl5FZCeDd9/yl/L1IO0TDh9Nmz+oPtzIq3w5rNw3qe8y6uu0gZJXUej9sz3GQMjxneeW1wGWz+yAWY4HfKLbXoHTGeglZlnX4+0HPhZ4kBKWufzIcNh6sXw12coyUvBAeKRNgLpWdRnlFITLaSpsZKSqaeR1dbGiLPPpnzOHB15OQyTU2FJKdxcmU7t8ePI3bWN49KEuRVrOSmzj6nxlfoc0ABLqYFq+iV2qu/FR+x02IgJ8KVv7BuQ9OT0y+F3PzpwihDsaFBGDmz6sH/bfDClY+16q0TCBkD4U4XG2ELWXRfUn30VrHzOjk5l5NiRqLpddq1YajpkD7GPukr7vkiL7SPPg/YmG1yVn7bv5199O4yYQObyP3Dm2R7L362mPTUHqqpwAgHOv+cexuhaoSNyWhq8OwrWR13MqBGMDpV5H5UAAAxJSURBVI046nZDKvVp0QBLqYFKBE75on0ciZHjbbBRsfzA10aMs2uWSvqWiuCwhNNg2iy7CB0D4trRKMe1C+G7KhwJ//gQPPUzmz4i2m6nChNxGDLSXqupFrIHw+W3wMI7YNs7dmG948Jpl9qRuXB65zXdAJxxGZxxGccDxdXVbF9pF+SXTJ++t86eOjIiMGYAJ0lVKlnEdClbkWyTJ082b7/9drKbodTnR1sz/OIf4dWFdlG5G4JRJ9qgI5gCty+ywcqnLRaDn98IK56yqRfC6TDnu/DlWw9+/ra19vxoBwSCsLsSIs02yJp0Plz8DdvuH82BnR9DRq5N+dC826aEWPAEBLUIsFLq0yUi7xhjJh/0NQ2wlDoGtLfB8/8Nbyy2C86PPxUu+2co6r5I8gHamuGlR6Fmu02rMH32vmvBjLGjR5sroL3FJhYdNnrfa+ypVZg7tOd1ZPd+Fbatsaka9qjbBVNmwLV32OcfLrPpIXKG7Pve+ir42k9tDjCllPoU9RRg6RShUseC1DS4/J/gsu/YNVluL//pr3sL/n2mDaCMged+ASUnwE+Xw6ZV8OQ9UPG6LY8jjl0vlTsUJl0A8/6js5ByKAXyi3r+rGiHTVSaW7jv8axcWPVa5/P6XQdfX5aIw27NY6WUSi4NsJQ6loj0PrgC+Mk1EGmz03Bgg6yta+C+G2HHx1C7Ddoa7doqLwGxDhvkvPsyFB8PM2469Gck4nZ0LJxuA7FY1F7PDdhpwnjM7qLcY8gI+/3U7YLGants0GA7MlY4svffo1JK9SMNsJRSPdu5wS/W3GXhuIgNZJYvsjsE4zHA2IXmDjb/lhuwOweXP3noAOvdpbDobjt9GGmzQVr9rs5gcFA+pGbCjH/ofM/oSTYI27ne1i4EaPDzao2e1J89oJRSvaYBllKqZ91Nw3W0A8YGN3F/tMnzk4Duydoe74BYpOfrb/4IHlsALQ02q3s0Yhfk7yGOXdM16mQ444rO4+vfgdYGG4RF2207hoyAYBC2rraL+ZVSKkk0wFJK9axojF1PVV/VmWU90goYCGfYlKGOAwmDmATg2BGuPftnJp7X/bU9zxZr3r7OX9/lHXhOIGjL8exYB6v+Ync/rnkTnr7PZoJPzbDnJOI2MDMpGmAppZJOAyylVM9EbHHoO2bbkSTj2SnBYJimvBLc2u04EiCIh4uBRAJxA/Z9xWUwc3731158L7y31BZ3PlhwBTZwclyItMPdV9v1XR3tnaNcLQ12+jIl1QZcwTBkZB/8Wkop9RnRAEspdWjjz4BfroMlD8GG9+HtF0h0tONUb0FEMG6AGJDwPKIFpWSOHAtnXQWnXbLv2q2uGqph2SLIHWZ3H3bHGBtQef60pGC/7jzBjn6J2HNd19ZiVEqpJNIASyl1eLLybGHoN/8I8RgOhrRoKzE3RMIJ0DhoCP815+e8NXE2fyrdtwLOQe1cb0em8ofB9rWQ6GYEyxg7YhYI2a89D4xfLBrx60Yb6GizNRiv/l73QZ1SSn1GDlExVimlfA018Oh37ZRdIEjcCWIQgokonutSnzWU906+hJoEHGRZ/IGyB3fm5Bo22gZbBxMK26zs4TT78OJ+klI/yBLXvjeQAmNPt+VylFIqyXQESyl1eF5/0l8P5f9e5ggJCeJ4ceKBFNpSB9FshJFBCBxOwd+hx8FxE+GTd6CgGJrr7VThnhQPjmuTkpaOtaNWu3faz25tZG9KCJOwa7cCQbvu6lsP2ilCpZRKMg2wlFKHSToTlSbiuOIQ94+78Sivl19Am4Hv5B7u5QRuvAf+8BObkDR/mF0UP3wcDB0Fp86A4eX23N2V8LN50LTbjnztydQeSoPMHMjIgTn/CoNL+v27VkqpI6G1CJVSh6ehBm4YY9c7xdrBGIxnMHisHT6F//6XF7imKJtTU4/g2pFWuzswI6f7xVuNtbBiMWx4zz6v3moXyucXw/nXw7QvHcbCL6WU6j9a7Fkp1T+eewh+eaudKvQSNtg6YRr8x4s2TYJSSh1DtNizUqp/XDwfJp0PLz1qS9pMnw0TztSRI6WU2o8GWEqp3hk6Cub+KNmtUEqpAU3TNCillFJK9TMNsJRSSiml+pkGWEoppZRS/UwDLKWUUkqpfqYBllJKKaVUP9MASymllFKqn2mApZRSSinVzzTAUkoppZTqZxpgKaWUUkr1sz4HWCLyLRFZKyIfichPuhxfICLrRWSdiFzQ189RSimllDpa9KlUjoh8AbgEOMkY0yEig/3j5cBVwDhgGLBURMqMMYm+NlgppZRSaqDr6wjW14G7jTEdAMaYav/4JcATxpgOY8wmYD0wpY+fpZRSSil1VOhrgFUGnCkiK0XkNRE51T9eBGzrct52/5hSSiml1OfeIacIRWQpUHiQl273358LTANOBRaJyKjeNEBEbgJuAigtLe3NW5VSSimlBqRDBljGmC9295qIfB1YbIwxwN9ExAPygR1ASZdTi/1jB7v+w8DDAJMnTzaH33SllFJKqYFJbGx0hG8WmQ8MM8b8u4iUAa8ApUA58Fvsuqth/vExh1rkLiI1wJYjbtCnJx+oTXYjjiLaX72nfdY72l+9p33WO9pfvXcs9tlwY0zBwV7o0y5C4FHgURGpAKLAXH806yMRWQSsBuLAzYezg7C7RiabiLxtjJmc7HYcLbS/ek/7rHe0v3pP+6x3tL96T/tsX30KsIwxUeCabl67C7irL9dXSimllDoaaSZ3pZRSSql+pgHW4Xk42Q04ymh/9Z72We9of/We9lnvaH/1nvZZF31a5K6UUkoppQ6kI1hKKaWUUv1MA6xD0GLWvScit4iIEZF8/7mIyAN+f60SkVOS3caBQkTu8e+vVSLytIhkd3lN77GDEJEL/T5ZLyLfTXZ7BhoRKRGRV0Vktf9z69v+8VwReVlEPvH/zEl2WwcaEXFF5D0Rec5/PtKvVLJeRH4vIqFkt3GgEJFsEXnS//m1RkSm6z22Lw2werBfMetxwE/9412LWV8I/EJE3KQ1dAARkRLgfGBrl8MXAWP8x03Ag0lo2kD1MjDeGHMi8DGwAPQe647fB/+FvafKgav9vlKd4sAtxphybJWNm/0++i7wijFmDDY3oQanB/o2sKbL8x8D9xljRgP1wFeT0qqB6X7gBWPMCcBJ2H7Te6wLDbB6psWse+8+4Fag6+K+S4BfG+tNIFtEhialdQOMMeYlY0zcf/omtuoB6D3WnSnAemPMRj9NzBPYvlI+Y0ylMeZd/+tm7H98Rdh++pV/2q+A2clp4cAkIsXATOAR/7kA5wBP+qdon/lEZBBwFvBLsCmbjDEN6D22Dw2weqbFrHtBRC4BdhhjPtjvJe2vw3MD8Cf/a+2zg9N+6QURGQFMBFYCQ4wxlf5Lu4AhSWrWQPVz7C+Hnv88D2jo8guQ3mudRgI1wGP+lOojIpKO3mP76Gsm96Pep13M+vPmEP31b9jpQdVFT31mjHnGP+d27NTOws+yberzS0QygKeA7xhjmuyAjGWMMSKiW8h9InIxUG2MeUdEzk52e44CAeAU4FvGmJUicj/7TQfqPaYB1qdezPrzprv+EpEJ2N9qPvB/kBcD74rIFI7h/oKe7zEAEZkHXAycazrzphzTfdYD7ZfDICJBbHC10Biz2D9cJSJDjTGV/hR9dfdXOOacDswSkRlAGMjCrjHKFpGAP4ql91qn7cB2Y8xK//mT2ABL77EudIqwZ/8LfAHAL2Ydwhay/CNwlYikiMhI7OLtvyWtlQOAMeZDY8xgY8wIY8wI7D/AU4wxu7D9dZ2/m3Aa0NhlGPmYJiIXYqclZhlj2rq8pPfYwb0FjPF3d4WwGwH+mOQ2DSj+2qFfAmuMMfd2eemPwFz/67nAM5912wYqY8wCY0yx/7PrKuDPxpivAK8CV/inaZ/5/J/r20TkeP/Qudjaw3qPdXHMj2AdQr8Wsz6GPQ/MwC7UbgOuT25zBpT/BFKAl/2RvzeNMfONMXqPHYQxJi4i3wReBFzgUWPMR0lu1kBzOnAt8KGIvO8f+zfgbuwyh68CW4Ark9S+o8ltwBMi8iPgPfxF3QqAbwEL/V90NmJ/rjvoPbaXZnJXSimllOpnOkWolFJKKdXPNMBSSimllOpnGmAppZRSSvUzDbCUUkoppfqZBlhKKaWUUv1MAyyllFJKqX6mAZZSSimlVD/TAEsppZRSqp/9f6I1ASYOkkZ0AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Retrieve node embeddings and corresponding subjects\n",
    "node_ids = weighted_model.wv.index2word  # list of node IDs\n",
    "weighted_node_embeddings = (\n",
    "    weighted_model.wv.vectors\n",
    ")  # numpy.ndarray of size number of nodes times embeddings dimensionality\n",
    "\n",
    "# Apply t-SNE transformation on node embeddings\n",
    "tsne = TSNE(n_components=2, random_state=42)\n",
    "weighted_node_embeddings_2d = tsne.fit_transform(weighted_node_embeddings)\n",
    "\n",
    "# draw the points\n",
    "alpha = 0.7\n",
    "\n",
    "plt.figure(figsize=(10, 8))\n",
    "plt.scatter(\n",
    "    weighted_node_embeddings_2d[:, 0],\n",
    "    weighted_node_embeddings_2d[:, 1],\n",
    "    c=node_targets.cat.codes,\n",
    "    cmap=\"jet\",\n",
    "    alpha=0.7,\n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Comparing the accuracy of node classification for weighted (weight ==1) and unweighted random walks.\n",
    "\n",
    "Compare classification of nodes through logistic regression on embeddings learnt from weighted (weight == 1) walks to that of unweighted walks demonstrated above. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Array shapes:\n",
      " X_train = (1863, 128)\n",
      " y_train = (1863,)\n",
      " X_test = (622, 128)\n",
      " y_test = (622,)\n"
     ]
    }
   ],
   "source": [
    "# X will hold the 128-dimensional input features\n",
    "X = weighted_node_embeddings\n",
    "\n",
    "# y holds the corresponding target values\n",
    "y = np.array(node_targets)\n",
    "X_train, X_test, y_train, y_test = train_test_split(\n",
    "    X, y, train_size=0.75, test_size=None, random_state=42\n",
    ")\n",
    "print(\n",
    "    \"Array shapes:\\n X_train = {}\\n y_train = {}\\n X_test = {}\\n y_test = {}\".format(\n",
    "        X_train.shape, y_train.shape, X_test.shape, y_test.shape\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LogisticRegressionCV(Cs=10, class_weight=None, cv=10, dual=False,\n",
       "                     fit_intercept=True, intercept_scaling=1.0, l1_ratios=None,\n",
       "                     max_iter=1000, multi_class='ovr', n_jobs=None,\n",
       "                     penalty='l2', random_state=5434, refit=True,\n",
       "                     scoring='accuracy', solver='lbfgs', tol=0.001,\n",
       "                     verbose=False)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clf = LogisticRegressionCV(\n",
    "    Cs=10,\n",
    "    cv=10,\n",
    "    tol=0.001,\n",
    "    max_iter=1000,\n",
    "    scoring=\"accuracy\",\n",
    "    verbose=False,\n",
    "    multi_class=\"ovr\",\n",
    "    random_state=5434,\n",
    ")\n",
    "clf.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = clf.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8247588424437299"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy_score(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.array_equal(weighted_node_embeddings, node_embeddings)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The weighted random walks with weight == 1 are identical to unweighted random walks. Moreover, the embeddings learnt over the two kinds of walks are identical as well."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusion: \n",
    "\n",
    "The above demo of application of Node2Vec method on the CORA dataset using weighted biased random walks demonstrates, weighted biased random walks produce inherently different node embeddings from the embeddings learnt through unweighted random walks over the same graph, as illustrated by t-SNE visualization of the two as well as comparison of performance over node classification.  These differences illustrate that (realistic) weights on the edges of a graph can be leveraged to learn more accurate representation of nodes in low dimensional feature space."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbsphinx": "hidden",
    "tags": [
     "CloudRunner"
    ]
   },
   "source": [
    "<table><tr><td>Run the latest release of this notebook:</td><td><a href=\"https://mybinder.org/v2/gh/stellargraph/stellargraph/master?urlpath=lab/tree/demos/node-classification/node2vec-weighted-node-classification.ipynb\" alt=\"Open In Binder\" target=\"_parent\"><img src=\"https://mybinder.org/badge_logo.svg\"/></a></td><td><a href=\"https://colab.research.google.com/github/stellargraph/stellargraph/blob/master/demos/node-classification/node2vec-weighted-node-classification.ipynb\" alt=\"Open In Colab\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\"/></a></td></tr></table>"
   ]
  }
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